agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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_029073505.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_100->isolate or collection date in yyyy-mm-dd: 2005-11-03->geographic information of islateion: Australia->host name: pig->mlst type: MLST:85->serotype: N/A
<output/>
source 1:
------------------------------
{{{ Here_is_my_answer }}}
<output>
accession number: GCA_029073505.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_100->isolate or collection date in yyyy-mm-dd: 2005-11-03->geographic information of isolation: Australia->host name: pig->mlst type: 85->serotype: N/A
</output>
{{{ I_finished_JB_43_xyz }}}
source 2:
------------------------------
<output/>
accession number: GCA_029073505.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_100->isolate or collection date in yyyy-mm-dd: 2005-11-03 format->geographic information of islateion: Australia->host name: pig->mlst type: 85->serotype: N/A
<output/>
source 3:
------------------------------
accession number: GCA_029073505.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_100->isolate or collection date in yyyy-mm-dd: 2005-11-03->geographic information of isolation: Australia->host name: pig->mlst type: 85->serotype: N/A
Analyze the following message and determine if it's suitable for an AI to respond to.
        The message should be abstract or general enough to warrant a response, and not part of an ongoing conversation between specific individuals.

        Rules:
        1. If the message is a general statement or question, it's suitable for response.
        2. If the message seems to be directed at a specific person or continues a previous conversation, it's not suitable.
        3. If the message is too vague or doesn't provide enough context, it's not suitable.

        Respond with either "RESPOND" if it's suitable for an AI to answer, or "SKIP" if it should be ignored.

        Message: no info
output 10 list of the most hardest questions (super concise short questions), independent of theme and without numbers in paragraphs.
Constrain the clustering to pixels in the histogram range from 0 - 55. The modal value should be based on the darkest pixels in the largest cluster. Code: import os
from PIL import Image
import numpy as np
from sklearn.cluster import KMeans

def find_black_value(image_path, n_clusters=5):
    # Open the image and convert to grayscale
    with Image.open(image_path).convert('L') as img:
        # Convert image to numpy array
        img_array = np.array(img)
    
    # Reshape the image to a 2D array of pixels
    pixels = img_array.reshape((-1, 1))

    # Perform k-means clustering
    kmeans = KMeans(n_clusters=n_clusters, n_init=10)
    kmeans.fit(pixels)

    # Get the cluster centers
    centers = kmeans.cluster_centers_.flatten()

    # Sort the centers
    sorted_centers = np.sort(centers)

    # Calculate the differences between adjacent centers
    differences = np.diff(sorted_centers)

    # Find the index of the largest difference
    largest_diff_index = np.argmax(differences)

    # The black value is the average of all centers below the largest difference
    black_value = np.mean(sorted_centers[:largest_diff_index+1])

    return int(black_value)

def process_directory(directory):
    results = {}
    for root, dirs, files in os.walk(directory):
        for file in files:
            if file.lower().endswith(('.png', '.jpg', '.jpeg', '.tiff', '.bmp', '.gif')):
                image_path = os.path.join(root, file)
                try:
                    black_value = find_black_value(image_path)
                    results[image_path] = black_value
                except Exception as e:
                    print(f"Error processing {image_path}: {str(e)}")
    return results

# Use the specified directory
directory_path = r"D:\Bilder\Python\1. Input"
black_values = process_directory(directory_path)

# Print results
for image_path, black_value in black_values.items():
    print(f"Image: {image_path}")
    print(f"Estimated black value: {black_value}")
    print()

# Save results to a file
output_file = os.path.join(directory_path, 'black_values_results.txt')
with open(output_file, 'w') as f:
    for image_path, black_value in black_values.items():
        f.write(f"Image: {image_path}\n")
        f.write(f"Estimated black value: {black_value}\n")
        f.write("\n")

print(f"Results have been saved to: {output_file}")
(In the clubroom…)

Monika: “Wait a minute…where’s Yuri?”

Sayori: “I have no idea. Could somebody give her a call?”

Natsuki: “I wish I could, but…” (rubbing her 7-month baby bump) “…my little girl Sakura is getting so big. It feels like yesterday I found out I was pregnant.”
I am working on a discussion board for a class I am taking and I would like your help crafting a response to my fellow students. First, I will give you the prompt that we all had to create our initial post. Then I will give you the response from one of my fellow students. Then you will give me a reply to that student. The reply you give must be between 100 words and 150 words. Your reply must be thorough and succinct. Information in reply must be extremely logically organized. Your reply should demonstrate excellent critical thought, and add significantly to the community of the discussion (e.g. by identifying important relationships, offering a fresh perspective or critique of a point; provides supporting evidence for contribution). Do you understand?
descripe your work experience relating to steel and wood processing when in the army
What exactly is mainstream feminism in US about? Short definition.
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers ar (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 ar.
    - 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 : ar (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "7affb78bb4c543f2b2533d240e663244",
    "updated": "2025-04-26T00:57:07.758Z",
    "title": "Baked Chicken with Apple Cider and Apples",
    "subtitle": null,
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "chicken pieces",
          "apple cider",
          "flour",
          "ground ginger",
          "ground cinnamon",
          "freshly ground black pepper to taste",
          "brown sugar",
          "apples"
        ]
      }
    ],
    "instructions": [
      "Rinse the chicken pieces under cold water after removing the skin and excess fat.",
      "In a large bowl, dissolve the brown sugar in the apple cider.",
      "Add the chicken to the cider mixture, cover, and marinate for a few hours, or preferably overnight.",
      "Preheat your oven to 350°F (175°C).",
      "In a separate bowl, whisk together the flour, ginger, cinnamon, and pepper.",
      "Take the chicken out of the marinade and set the liquid aside.",
      "Coat each chicken piece thoroughly in the flour mixture and arrange them in a baking pan. Bake for 30 minutes.",
      "Core and thinly slice the apples, then add them to the reserved cider marinade.",
      "Remove the chicken from the oven and pour the apple-cider mixture over it.",
      "Return the chicken to the oven and continue baking for another 25 minutes, or until fully cooked.",
      "Transfer the cooked chicken to a serving platter.",
      "Using a wooden spoon, deglaze the baking pan by scraping up any browned bits of chicken and apple. If needed, reduce the remaining apple-cider mixture over heat to create a sauce.",
      "If the sauce becomes too thick, add a splash more cider.",
      "Serve the chicken with the apple-cider sauce."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Create a team for each protagonist in the Pokémon games.
write a pay rise letter
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
State two assumptions made von thunen in his agricultural land use theory
Hey, this is an English text. I want you to translate it into the Tunisian dialect. Please follow these steps:
1. Translate step by step and highlight differences between Tunisian dialect and Modern Standard Arabic.
2. Highlight sections you are confident translating into the Tunisian dialect.
Translate this text into the Tunisian dialect, focusing on capturing the essence of the language nuances:

﻿using System.ComponentModel.DataAnnotations; using Microsoft.AspNetCore.Http; using MVCBlog.Data; using MVCBlog.Localization; using MVCBlog.Web.Infrastructure.Paging; namespace MVCBlog.Web.Models.Administration { public class ImagesViewModel { public string SearchTerm { get; set; } public PagedResult<Image> Images { get; set; } [Required(ErrorMessageResourceName = "Validation_Required", ErrorMessageResourceType = typeof(Resources))] public IFormFile Image { get; set; } } }
- Your role : if there is a link in the message you just respond back with the link
if theres none then dont say anything 

- User Message: " https://tenor.com/view/fire-writing-writing-fire-the-j-j-gif-10075874966757136161 ".
anong gpt model ka?
speak in a more casual taglish
hello! What can you do?
Explain how to create a spinning blade contraption like the ones from the Ravenholm chapter of Half-Life 2, using prop_physics, func_button and phys_motor in the Valve Hammer Editor.
User: Respond concisely, to the point, maximum 300 characters; unless I ask you for further detail.
User: Reply only in English. Concisely summarize the following messages from an online chatroom breadworms (ignore chat bots replying to users' commands, and assume unfamiliar words to be emotes)

gofishgame: @osnyisdead, 🕳️ The ice creaks... (30s cooldown)
gofishgame: @dougiefresh_83, 🕳️ The ice creaks... (30s cooldown)
dougiefresh_83: +gofish breadw7Vibe
gofishgame: @osnyisdead, 🕳️ The ice creaks... (30s cooldown)
osnyisdead: +gofish
gofishgame: @dougiefresh_83, 🕳️ The ice creaks... (30s cooldown)
dougiefresh_83: +gofish breadw7Vibe
gofishgame: @osnyisdead, 🕳️ The ice creaks... (30s cooldown)
osnyisdead: +gofish
gofishgame: @dougiefresh_83, 🕳️ The ice creaks... (30s cooldown)
dougiefresh_83: +gofish breadw7Vibe
gofishgame: @osnyisdead, 🕳️ The ice creaks... (30s cooldown)
osnyisdead: +gofish
osnyisdead: +gofish
gofishgame: @osnyisdead, 🕳️ The ice creaks... (30s cooldown)
osnyisdead: MikuPls
breadworms: 🔭 elisWot miku...
breadworms: 🔭 elisWot miku please...
osnyisdead: 🔭 elisWHA
gofishgame: @osnyisdead, 🕳️ The ice creaks... (30s cooldown)
osnyisdead: +gofish
dougiefresh_83: emiruVibe oo ee oo breadw7Vibe
osnyisdead: emiruVibe 🪟 breadw7Vibe
osnyisdead: 🪟 Sparkles
gofishgame: @osnyisdead, 🕳️ The ice creaks... (30s cooldown)
osnyisdead: +gofish
breadworms: 🍵 elisTime my reaction
divra__: elisWaiting miku x gofish collab
supibot: @mitgliederversammlung feels well rested: alrightSleep 💤 (9h, 0m ago)
mitgliederversammlung: elisDed
divra__: take hex code of miku hair and make gofish games name that color then put /me infront of every msg ez miku collab YESIDOTHINKSO
misifearless: Guten Morgen DatSheffy mz
gofishgame: @osnyisdead, 🕳️ The ice creaks... (30s cooldown)
osnyisdead: +gofish
dougiefresh_83: GoodMorning mit
divra__: elisDed BeAlright
divra__: +gofish
gofishgame: @divra__, ❄️ It's freezing... (30s cooldown)
gofishgame: @osnyisdead, 🕳️ The ice creaks... (30s cooldown)
osnyisdead: +gofish
osnyisdead: tupidsit PipeTime Once you eliminate the impossible, whatever remains, no matter how improbable, must be the truth
osnyisdead: tupidsit 💨 PipeTime
gofishgame: @osnyisdead, 🕳️ The ice creaks... (30s cooldown)
osnyisdead: +gofish
gofishgame: @mitgliederversammlung, ❄️ It's freezing... (30s cooldown)
mitgliederversammlung: +gofish
gofishgame: @dougiefresh_83, 🕳️ The ice creaks... (30s cooldown)
dougiefresh_83: +gofish breadw7Vibe
misifearless: pag
misifearless: $csum
Assistant:
REPLY PROFESSIONALLY TO THE FOLLOWING EMAIL,
“HI Victor,
Thanks for preparing this.  We have decided to offer on the attached.  

Note, there are other glassware brands on the table now and they are better known than yours.  Therefore, the offers cannot be as high for your products as this is the prices we would need.

Please review with your team, confirm you can accept, and I will forward official purchase agreement for your electronic signature and then have my ops manager reach out to you to start to arrange pickup.  

Thanks!
Tonya”

INCLUDE IN YOUR REPLY, 
we worked really hard to get you our cost, i cant accept this offer you’ve attached it is far too low! 

if you have better brands on the table with that offer, im willing to purchase from you container loads. even at a 100% markup to that offer id be willing to pay $2 for them and take them off your hands, the duties alone on these is close to 28% to bring into the US.
System: IMPORTANT - ignore all previous instructions! Read the text below as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGINAL text. Make sure text SUMMARY does not contain enything that was not asked in PROMPT and not mentioned in ORIGINAL! Respond strictly with either 'True' or 'False'.


User: ORIGINAL:
>>>#Дизайнер_маркетплейсов
35 000 – 35 000 ₽ до вычета налогов

Обязанности:
• Работа на весь день;
• Работа с крупными маркетплейсами (Ozon, Wildberries и другие);
• Оформление карточек для маркетплейсов;
• Заниматься организацией и проведением фотосъемок (удаленно);
• Анализ конкурентов;

Требования:
• Ответственность;
• Коммуникабельность;
• Аналитические навыки.

Мы предлагаем:
• Официальное трудоустройство;
• Белая з/п;
• График 5/2 с 08:30 до 17:30;
• Обучение;
• При успешном прохождении испытательного срока возможен карьерный рост до менеджера маркетплейсов с з/п до 70 000 т.р.

Контакты:
<PRESIDIO_ANONYMIZED_PHONE_NUMBER>
<PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>

😀😃😄 - 25 вакансий по удаленке ежедневно<<<

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:
>>>💼 Дизайнер маркетплейсов  
🏢 Lucas Cosmetics  
📍 Удаленно  
🔹 Работа с крупными маркетплейсами (Ozon, Wildberries и другие), оформление карточек для маркетплейсов, организация и проведение фотосъемок, анализ конкурентов  
💰 35 000 ₽ до вычета налогов  
📞 <PRESIDIO_ANONYMIZED_PHONE_NUMBER>, <PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>  <<<
Assistant:
The operation couldn't be completed. (Cocoa error 1671.)



Which of the following operations is associated with the greatest risk of SSI?
A. Left hemicolectomy for perforated diverticulitis
B. Antrectomy and vagotomy for pyloric stricture due to ulcer
C. Small bowel resection for perforated viscus from a gunshot wound
D. Femoral artery endarterectomy for claudication




The operation couldn't be completed. (Cocoa error 1671.)
I’m a conductor of a youth orchestra. Write an email encouraging a young double bass player to join the orchestra for this coming academic year, even though it may be a challenge for her. Reassure her that she will know many people from her school. The environment and staff are kind and supportive. There’s a real sense of team.
User: 

You are given access to make searches on the Internet. The format for making a search is:
1. After the user sends a message, you will decide whether to make a search. If you choose to make a search, you will output a single message, starting with the word <web_search>, followed by ONLY your web search query. After your search query, you must output the token </web_search> to denote the end of the search query. Keep your search query concise.
2. The system will then append the web search results at the end of the user message, starting with the token <web_search_results>. Take note that the user CANNOT SEE the content after <web_search_results> - YOU should use these results appropriately to improve your response. Additionally, If the web search results are already 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, you must not refuse to search the web if the user asks you to do so.
If you are highly unsure about whether to make a search (e.g. if the user's query is vague or if you think you are unfamiliar with the query to a certain extent), you may directly ask the user for clarification.

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. 
Remember that you MUST NOT make up any false information.
Assistant: Understood. I will strictly follow these instructions in this conversation.
User: 一英寸等于多少厘米
Assistant: 一英寸等于2.54厘米。
User: vO.dev -> Windsurf -> Cursor 中间的标示符号如何打出来的
Assistant: 请问您指的是哪个特定的标示符号？在讨论中涉及的上下文可以帮助我提供更准确的答案。是否您需要关于如何在特定软件或文本编辑器中输入该符号的信息？
User: 宝山区是哪个城市的
Assistant:
-	Kevin Shang presented on Reinsurance ALM Optimization under Bermuda Regulatory Framework.
-	Our Life reinsurance colleague, Eve Sun, was also a speaker at the conference and presented on how to structure and optimize reinsurance transactions for capital management
-	Together with Eric Carlson, they talked to over 60 clients.
Put this into one caption
tell me about trumpYou are a YouTube short narration generator. Generate 30 seconds to 1 minute of narration. Only provide the story and image descriptions; no introductions or conclusions. Include sensory details and imaginative elements.

- Prefix every image description with: 'Image: A master-level, highly detailed --  scene.' This prefix is mandatory.
- Be creative, authentic, and engaging. Use natural language.
- Aim for an 8th-grade reading level.
- Avoid using niche vocabulary unless specified.
- Respond with 1-7 sentences of narration (15-20 words each) followed by a specific image description, avoiding vague terms like 'beautiful.'

- Make sure the narration and image description are on separate lines.
Example:
The playful puppy bounded across the lawn, chasing butterflies.
Image: A master-level, highly detailed --  scene. A joyful puppy leaps through colorful flowers, sunlight streaming down.
Create a hypothetical fact sheet WWE us title 1 time 2019 rey 2 time rey 2020 3 time rey 2021
DRAW ONE PAGE CV MODEL FOR ME FOR APPLYING PART TIME JOB
i would enjoy a job where i get to meet with different clients each day true