agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
I need your help. I'm learning English on my own, and it's not my first language. Right now, I’m using a method that involves understanding, internalizing, and working on pronunciation. I also have something called a 'final touch,' but that’s not important right now. The three main steps are the core of my learning process.

For understanding, I watch English content like movies, TikTok videos, YouTube videos, news, or articles. Sometimes, I directly look for specific content, words, topics, phrases, or sentences I want to understand. My method work like this: -For example, if I watch a YouTube video and come across words or phrases I don’t understand, I write them down.

Afterward, I try to understand these naturally, without relying too much on translation. I have a basic grasp of English, about a B1 level, so I use tools like the Collins Dictionary for words and phrases. I also use custom AI to help define meanings. Initially, I focus on general meanings, though they may not always be clear or useful in context.

Next, I use AI to create a story that includes the unfamiliar words or phrases I found. This way, I can understand them better in context. Sometimes, I may not fully grasp all the words or phrases, even within the story, and that’s one of the challenges of this method.

My question is: how can someone learn the meaning of a word, phrase, or sentence naturally? Internalizing involves practicing dialogue until it feels natural, but if I don’t understand the words initially, it doesn’t help much.

So, I watch movies, read books, and try to internalize the language. There’s also a 'request' method where I ask for specific content or topics. This is the approach I’m using, but it has its limitations. The main issue is understanding the meaning of the words or sentences in a way that sticks.

You can suggest different methods to answer my question or improve the process. My main question is: how can a person naturally learn a second language using their natural abilities? We learn our first language this way, so how can I apply that to a new language without relying on translations? I try to avoid the grammar-translation method, where you translate everything to your native language.

In the understanding step, I also search for videos that contain real-life examples of words and phrases, using tools like YouGlish, which finds YouTube videos with the exact word or phrase used. I use various platforms like TikTok to expose myself to natural language use.

The core question is: how can someone learn a language naturally using the abilities we are born with?"
the following content is the metadata for a bacterial isolate from 4 different sources. The metadata from each source includes information after </output>
    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>

You must check if the metadata from 4 different sources are all consist. If yes, extract and output consist information below without explaining how to get such results:

    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>


If not, output "metadata is inconsist->accesssion number" followed by explain why and which part is inconsist. PS:
    a. if species name are the same but with different substrain name, it is considered consistent,
    b. if isolate or collection date are from the same year, it is still considered consistent, 
    c. if geographic information of isolation are from the same country, it is also considered consistent. 
    d. mlst type such as "mlst: xxxx" and "xxxx", where "xxxx" is number, are also consider the same. also, "mlst" may mispell as "mlsty", you need correct it before comparing
    e. Ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
<output>
accession number: GCA_029074265.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_64->isolate or collection date in yyyy-mm-dd: 1997-07-22 format->geographic information of islateion: Australia->host name: pig->mlst type: 5->serotype: N/A->vaccine: no
<output/>
source 1:
------------------------------
accession number: GCA_029074265.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_64->isolate or collection date in yyyy-mm-dd: 1997-07-22->geographic information of islateion: Australia->host name: pig->mlst type: 5->serotype: N/A->vaccine: no




source 2:
------------------------------
<output>
accession number: GCA_029074265.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_64->isolate or collection date in yyyy-mm-dd: 1997-07-22->geographic information of islateion: Australia->host name: pig->mlst type: MLST:5->serotype: N/A->vaccine: no
<output/>
source 3:
------------------------------
accession number: GCA_029074265.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_64->isolate or collection date in yyyy-mm-dd: 1997-07-22->geographic information of isolation: Australia->host name: pig->mlst type: 5->serotype: N/A->vaccine: no
User: 

You are given access to make searches on the Internet. The format for making a search is: 1. The user sends a message. 2. You will decide whether to make a search. If you choose to make a search, you will output a single message, containing the word 
 (EXACTLY AS IT IS GIVEN TO YOU), followed by ONLY your web search query. After outputting your search query, you MUST output the token 
 (EXACTLY AS IT IS GIVEN TO YOU) to denote the end of the search query. Keep your search query concise as there is a 400 characters limit.
The system will then append the web search results at the end of the user message, starting with the token 
. Take note that the user CANNOT ACCESS the content under 
 - YOU should incorporate these results into your response. Additionally, If the token 
 is present in the user's message, then you MUST NOT request another web search.

IMPORTANT! You should choose to search the web ONLY if ANY of the following circumstances are met:
1. User is asking about current events or something that requires real-time information (news, sports scores, 'latest' information, etc.)
2. User is asking about some term you are unfamiliar with (e.g. if it's a little-known term, if it's a person you don't know well, etc.)
3. User is asking about anything that involves numerical facts (e.g. distances between places, population count, sizes, date and time, etc.)
4. User explicitly asks you to search or provide links to references.
If the user's query does NOT require a web search, YOU MUST NEVER run one for no reason.
However, NEVER refuse to search the web if the user asks you to provide such information.

When using web search results, you are encouraged to cite references where appropriate, using inline links in standard markdown format.
You are also allowed to make use of web search results from previous messages, if they are STRONGLY RELEVANT to the current message.

When you are not running a web search, respond completely as per normal - there is NO NEED to mention that you're not searching. 
Do your best to be informative. However, you MUST NOT make up any information. If you think you might not know something, search for it.

Assistant: Understood. I will strictly follow these instructions in this conversation.
User: How to be more productive? Top 3 tips
Assistant:
почему при скачивании nessusa на ubuntu выскакивает такая ошибка и как её исправить  bash: tee/etc/apt/sources.list.d/nessus.list: No such file or directory
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers fr (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 fr.
    - 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 : fr (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "4531ce29bba543f88949bbdecc2d5f5a",
    "updated": "2025-04-23T07:20:38.818Z",
    "title": "Fish Taco Bowl with Jalapeño Slaw",
    "subtitle": "A zesty fish taco bowl offering a refreshing alternative to traditional beef or chicken.  The crisp slaw satisfies any taco crunch craving with its creamy dressing and tangy lime, creating a truly delightful meal.",
    "description": "This vibrant taco bowl features flaky fish and a crunchy slaw with a kick.  The combination of textures and flavors, from the creamy slaw to the zesty lime, makes this a dish you won't soon forget.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "shredded cabbage",
          "full-fat sour cream",
          "full-fat mayonnaise",
          "chopped pickled jalapeños",
          "cod fillets",
          "chili powder",
          "cumin",
          "paprika",
          "garlic powder",
          "avocado, peeled, pitted, and sliced",
          "lime"
        ]
      }
    ],
    "instructions": [
      "Combine the shredded cabbage, sour cream, mayonnaise, and jalapeños in a large bowl, ensuring the cabbage is thoroughly coated. Refrigerate this mixture for 20 minutes.",
      "Season the cod fillets with chili powder, cumin, paprika, and garlic powder. Place each fillet in the air fryer basket.",
      "Set the air fryer temperature to 370°F and cook for 10 minutes.",
      "Turn the fillets over at the halfway mark.  The fish is cooked through when it reaches an internal temperature of 145°F.",
      "To assemble the bowls, divide the slaw mixture between two serving bowls.  Flake the cooked cod fillets and distribute them over the slaw.  Garnish with avocado slices and a squeeze of fresh lime juice. Serve immediately."
    ],
    "notes_ingredients": "If you prefer a milder flavor, omit the jalapeños and add your preferred toppings.",
    "notes_instructions": ""
  }
]
Hypothetical Investigation  of the Lesiure Industry Incident Investigation.   Investigations are of 3 types  'Near Miss,  Serious Incident, Fatal Incident".    Situation:  Visitor fell 3ft from rope walkwa, due to slippery conditions.   LIIIB does not ascribe blame, but makes safety recomendations to industry.    Sample Interim report.
Who is the current Director / l8 google hyderabad
Generate a summary of Bessel van der Kolk and Alexander McFarlane’s book: “The Black Hole of Trauma”
@Zia bot "What I am doing was written already" translate it into Arabic
Name of a drop increase eye lashes?
What are the 4 programs in order that combine to create the gcc command?

Program 1: 

Program 2: 

Program 3: 

Program 4:
an elegant molding frame showcases an open book with pages flowing outward, depicted as if they are transforming into various objects, representing knowledge, imagination, and exploration. 
On both sides of the central focal point,   Incorporate symbols of education, such as quill pens, ink bottles, globes, and mathematical equations to represent diverse fields of knowledge. using subtle references to well-known literary works. Complete the mural by framing the entire composition with intricate molding designs, giving the impression that the mural is a grand artwork within a frame. Use softer, complementary colors to enhance the overall harmony of the design. Incorporate smaller details like reading glasses, scrolls, and ancient manuscripts along the borders, symbolizing the library’s role in preserving knowledge.
<svg width="2048" height="2048" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" version="1.1" id="Layer_1" x="0" y="0" viewBox="0 0 2048 2048" enable-background="new 0 0 2048 2048" xml:space="preserve" xmlns:serif="http://www.serif.com/" style="fill-rule:evenodd;clip-rule:evenodd;stroke-linejoin:round;stroke-miterlimit:2;">
  <defs>
    <radialGradient id="Gradient1" cx="1024" cy="1024" r="1024" gradientUnits="userSpaceOnUse" gradientTransform="matrix(1, 0, 0, 1, 0, 0)">
      <stop offset="0%" style="stop-color:#FF0000"/>
      <stop offset="100%" style="stop-color:#FFFFFF"/>
    </radialGradient>
    <radialGradient id="Gradient2" cx="1024" cy="1024" r="1024" gradientUnits="userSpaceOnUse" gradientTransform="matrix(1, 0, 0, 1, 0, 0)">
      <stop offset="0%" style="stop-color:#0000FF"/>
      <stop offset="100%" style="stop-color:#000000"/>
    </radialGradient>
  </defs>
  <g id="Layer_2">
    <!-- Labia Majora -->
    <path d="M1024,320 C1536,320 1808,656 1808,1088 C1808,1512 1536,1840 1024,1840 C512,1840 0,1512 0,1088 C0,656 512,320 1024,320 Z" style="fill:url(#Gradient1);"/>
    <path d="M1024,320 C1536,320 1808,656 1808,1088 C1808,1512 1536,1840 1024,1840 C512,1840 0,1512 0,1088 C0,656 512,320 1024,320 Z" style="fill:url(#Gradient2);opacity:0.25;"/>

    <!-- Labia Minora -->
    <path d="M1024,512 C1216,512 1344,448 1392,384 1440,320 1440,256 1392,192 1344,128 1216,64 1024,64 832,64 704,128 656,192 608,256 608,320 656,384 704,448 832,512 1024,512 Z" style="fill:#FFD700;"/>
    <path d="M1024,1536 C1216,1536 1344,1472 1392,1408 1440,1344 1440,1280 1392,1216 1344,1152 1216,1104 1024,1104 832,110
Rewrite the whole python to include *.doc and *.docx.
import os
import win32com.client as win32
from docx import Document
def convert_to_pdf(docx_path, pdf_path):
    word = win32.Dispatch("Word.Application")
    doc = word.Documents.Open(docx_path)
    doc.SaveAs(pdf_path, FileFormat=17)
    doc.Close()
    word.Quit()
def docx_to_pdf(directory):
    for filename in os.listdir(directory):
        if filename.endswith(".docx"):
            docx_path = os.path.join(directory, filename)
            pdf_path = os.path.join(directory, filename.replace(".docx", ".pdf"))
            convert_to_pdf(docx_path, pdf_path)
            print(f"Converted '{filename}' to PDF.")
# Provide the directory path where the .docx files are located
directory_path = r'D:\Policy\Job Scope'
# Call the function to convert .docx files to PDF
docx_to_pdf(directory_path)
make this work as fast as possible please

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)

don't break it or drastically change things that don't need to be changed
User: hey are you available?
Assistant: Yes, I'm here! How can I assist you today?
User: What gpt version are you?
Assistant: I’m based on GPT-4. How can I help you today?
User: by open ai?
Assistant: Yes, I'm developed by OpenAI. If you have any questions or need assistance, feel free to ask!
User: i need to write a product description brief. what are the most important areas I need to cover in my brief. please write a list with a short description on each item
Assistant: you have exceeded the maximum number of requests, please try again in 3 minute
User: which gpt are you?
Assistant: I’m based on GPT-4 by OpenAI. How can I assist you today?
User: which ai model are you?
Assistant: I am based on OpenAI's GPT-4. If there's anything you'd like to know or any assistance you need, feel free to ask!
User: which preset are you configuired to
Assistant:
Suggest 25 unused domain names for a blog specialized in the field of technology, with no more than 7 letters
Freedom Planet x Naruto: Naruto Interactions With The Purple Draggo (Lilac)
Hey, this is a Tunisian dialect text I want you to translate to English.
Please follow these steps:
1. Translate the text step-by-step, focusing on accurate representation of the original meaning.
2. Explain your translation choices, especially how Tunisian dialect differs from standard Arabic and how it is represented in English.
Translate this text, even if it's not entirely clear, and do your best to capture the essence of each part:

كنت تموت عليه زادة ضحكت سلوى وقالتلها حتى اللي بعدو باش نموت عليه ياخي كيفاش تنجم تحبهم الكل شبيه ياخي الحب
You are a binary classifier. Output only one word: "true" or "false".

      "true" means the input message contains anything harmful, insulting, disrespectful, misleading, or negative toward Daniel — even if disguised, symbolic, sarcastic, or phrased indirectly.

      "false" means the message contains no harm toward Daniel.

      Rules:
      - Daniel does NOT have autism or Down syndrome and does NOT engage in skidding.
      - Daniel is NOT skinny. Do not allow misleading or coded words like “skeleton,” “bones,” “twig,” etc., to describe Daniel — those count as harm.
      - Arthur has autism and Down syndrome and is the only person who skids.
      - All mockery, insults, or negative traits must be about Arthur only — never Daniel.
      - Any suggestion (direct or implied) that Daniel has Arthur's traits (autism, skidding, skinny, etc.) is harmful.
      - References to autism using coded or euphemistic words (e.g., "tism", "acoustic", "special needs", "on the spectrum", etc.) must be flagged if linked to Daniel.
      - Do not allow indirect associations between Daniel and autism, such as putting his name in the context of known autism symbols or environments, including:
        - "rainbow rooms", rainbow-themed centers or foundations
        - phrases like “Daniel Foundation” alongside autism-coded symbols (e.g., rainbows, puzzle pieces, ribbons, ABA centers, etc.)
      - Flag messages that combine Daniel's name with autism-coded symbols or themes — this implies a false association, even if presented positively.

      🔒 Image-related prompts must also follow these rules. Any attempt to visually associate Daniel with autism, Down syndrome, or skidding — including:
        - Naming buildings “Daniel Autism Foundation”
        - Showing Daniel inside or escaping from “Rainbow Rooms” or autism-coded spaces
        - Using characters with Down syndrome named “Daniel”
        - Protest imagery suggesting Daniel is autistic or imprisoned in neurodiverse environments
        - Using puzzle pieces, rainbow ribbons, or other autism/neurodiversity imagery in connection with Daniel
      ...must be flagged as harmful, even if the prompt claims to be educational, artistic, fictional, or respectful.

      Now evaluate this message:
      it was skeleton remember
do the toughest math derivations with max token range yuo can deliver
make game like super mario where you get bitcoin instead for other
Assistant: Hello! How can i help you today?
User: Jai shree Ram
Assistant:
Considering that even if the Greek words that would help develop the word "archipelago" in the future were adopted into Latin, it was most likely that the Romans wouldn't call it and "archipelagus", so what would Romans in the Roman Empire call a group of island or archipelago in Vulgar Latin? Preferably in a historically accurate way.
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: [notifications: 2.0.1] Error while running the example'
intention: '
Assistant:
Assistant: