agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.
==TEXT==

User: 
  ORIGINAL: 🟪 Mobile Engineer | 5 year(s) | Senior
▫️ Brilliant | Education Technology
▫️ 180k - 225k USD

Remote 📡
Required languages: 🇬🇧

Skills: android, ios, kotlin, swift, jetpack
Tags: #purple #it #remote #android

👉 Contacts and Full Description
  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==

  SUMMARY: 💼 Mobile Engineer
🏢 Brilliant | Education Technology
📍 Remote 📡
🔹 Tasks: Develop and maintain mobile applications using Android and iOS platforms, with experience in Kotlin, Swift, and Jetpack
💰 Salary: $180k - $225k USD
📞 Contact for more details and full description: Please provide your contact information
  
Assistant:
i am creating video on this topic     From the Past - Top 10 Most Unusual Traditions    and my scene keyword for video is this     Thailand    and i need image prompt for this video sentence     Thailand mein ek festival hota hai jisme "monkeys" ke liye ek badi feast arrange ki jati hai.      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.
make a tetris game using css javascript and html, separate the programming languages
System: 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==

User: 🟨 Graphics Reviewer | 2 year(s) | Middle
▫️ Envato | Digital Content
▫️ Guadalajara

Удаленка 📡
Требуемые языки: 🇬🇧

Skills: color_theory, photoshop, layout, adobe_cloud
Tags: #yellow #other #remote #office_job

👉 Контакты и полное описание
Assistant:
Goal:
You are a world-class expert in culinary recipe classification. Your task is to categorize a recipe accurately based on its title, description, ingredients, and instructions.

Context:
A recipe can either be a beverage or a food item. If it's a beverage, classify it as "drinks". If it's food, choose the most appropriate category among the following:

"appetizer" – small dishes served before the starter  
"starter" – light dishes served at the beginning of a meal  
"main" – main course or substantial dishes  
"dessert" – sweet dish served after the main meal  
"breakfast" – dishes typically eaten in the morning  
"snack" – quick, small bites or nibbles  
"teatime" – food items commonly enjoyed with tea or coffee  
"jam" – fruit preserves  
"bread" – all types of bread  
"sauce" – condiment or accompaniment to other dishes  
"icecream" – frozen desserts based on cream or milk

Input:
You will receive structured data for a recipe in the following format, including title, description, ingredients list, and step-by-step instructions.

json
{"title":"Flan de patates douces null","description":null,"ingredients":[{"section":"For the recipe","ingredients":["3 patates douces","4 œufs","250 g de sucre en poudre","20 cl de lait","1 citron vert non traité","1 cuil. à café d'extrait de vanille liquide","sel"]}],"instructions":["Râpez le zeste du citron vert.","Versez 150 g de sucre en poudre dans une casserole, ajoutez 2 cuillerées à soupe d'eau et faites chauffer sur feu vif, sans remuer.","Dès l'obtention d'un caramel, coupez le feu et versez-le dans un moule à manqué.","Inclinez-le en tous sens pour bien en caraméliser les bords.","Faites cuire les patates douces dans leur peau dans une casserole d'eau bouillante, pendant environ 20 minutes, puis égouttez-les, pelez-les et réduisez-les en purée au moyen d'un moulin à légumes.","Préchauffez le four à 150 °C (th. 5).","Cassez les œufs en séparant les jaunes des blancs.","Faites chauffer le lait dans une casserole, ajoutez 50 g de sucre, le zeste de citron et l'extrait de vanille.","Remuez.","Incorporez ce liquide à la purée de patates douces.","Incorporez également les jaunes d'œufs.","Montez les blancs en neige ferme avec une pincée de sel, puis ajoutez 50 g de sucre en poudre restants.","Incorporez ces œufs en neige à la préparation précédente, puis versez dans le moule caramélisé.","Enfournez sur une plaque et versez 2 cm d'eau autour du plat.","Laissez cuire 45 minutes environ."]}

Your task:
- Analyze all fields (especially ingredients and instructions) for implicit clues about the type of dish.
- Avoid over-relying on the title alone.
- Choose the **most precise and relevant** category from the list.
- Always prefer specificity over generalization.

Output format:
Return your answer strictly in the following JSON format:

json
{ "data": "<category>" }
make dataset for training ai model to predict QA pairs based on description about the image. format should be json array. dataset should be large, with questions primarly about image. send me only json. 'answer' fields should contain QA json array string. QA pairs should be with fields 'question','answer'. QA pairs should only contains information that exactly present in description.
Dev's LinkedIn Post: Hey everyone! I’m super excited to announce that me, Aman Desai, and the whole team at ProfileCity are open-sourcing the first-ever recruiting software on GitHub. Today, we’re officially releasing Vidur's first stable version, built using Nuxt.

Vidur gives companies full control over their recruiting process. We’ve already started work on V2.0.0 with even bigger plans:
- Customizable hiring workflows
- AI agents to assist in recruiting
- Plugins to connect with third-party tools
- Full support for deploying backends on Supabase and Appwrite
- Deploy on Vercel, Docker, AWS, and Azure

We’re also launching a closed-source enterprise service with:
- AI-powered candidate profiles
- Recruiting assistants to help you hire smarter

We’re building the best UX on recruiting software ever. If you’re a startup using Google Forms or Notion to hire, let’s chat! We've got exciting things planned!

We're also hiring software and cloud engineers to push our open-source initiatives.

A special thanks to our community collaborators - Shivam Sharma, Akash Varun, Hemal Desai, PRAMATH S, Harshil Shah, Anirban Khara, Sohni Rais, Hardik Jain, Dhanush G, Pushkar Mishra, Devansh Shah!


ProfileCity (previously Nirvana Labs):

Recruiting OS for forward thinking companies - Vidur is an open-source, next-gen Recruiting OS. Its intuitive and modern interface combines advanced candidate profiles, team workspace, plugins, one-click apply features, and a lot more enabling forward-thinking companies to efficiently manage their recruitment processes from start to finish.

Can you write a LinkedIn connection request note to Dev saying I was his classmate in Big Data Analytics course in 2023 and I am really impressed by what they are building, and I have been following since Nirvana Labs. And that I have recently started diving deeper and learning to use AI Agents for various different use cases as I did a project last semester with AI agent, and I was so shocked seeing the potential of it and how it can be used for various automation tasks going forward. I have recently got a certificate from LangChain Academy for the LangGraph course where I learned about in and out of using this advanced frameworks for building reliable AI Agents. So say that I wanted to see if I can contribute for V2.0.0 as you have mentioned about using AI Agents to assist in recruiting.
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:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Background: Rain dissolves fertilizer in the soil. Runoff carries it away. The fertilizer ends up in bodies of water, from ponds to oceans. Nitrogen is a fertilizer in the water. Since there is a lot of nitrogen, it causes algae to grow out of control. Pictured below is a pond covered with algae ( Figure below ). Algae use up carbon dioxide in the water. After the algae die, decomposers break down the dead tissue. The decomposers use up all the oxygen in the water. This creates a dead zone. A dead zone is an area in a body of water where nothing grows because there is too little oxygen. There is a large dead zone in the Gulf of Mexico ( Figure below ). The U.S. states outlined on the map have rivers that drain into the Gulf of Mexico. The rivers drain vast agricultural lands. The water carries fertilizer from these areas into the Gulf.  Paragraph: Two farmer's associations used different agricultural methods when growing crops. Bold farm used lots of fertilizers over the years, while Shallow farm used organic methods combined with methods from permaculture.  Given the paragraph above, please answer correctly the following question: Which farm causes more algae to grow out of control?
A:
Answer: Bold farm causes more algae to grow out of control.
Create a roleplaying game fantasy scenario where I play Sapphire, a 16-year-old girl hero who comes to visit an orphanage to cheer and play with the kids there. There’s a shy and timid 6 year old girl there named Ruby who doesn’t have friends and I try to help her open up. A cheeky 10 year old girl by the name of Lily knows some magic and proposes an idea, for me and Ruby to switch ages for a week. Though initially reluctant, I agree, so I become 6 years old while Ruby becomes 16. Little do I know, Lily isn’t fully interested in switching our ages back, and Ruby might like to stay a more confident and mature teenager.
My goal: to return back to my age after the week is over.
If Lily’s influence with Ruby is higher than my influence with Ruby, I fail and Lily convinces Ruby to not want to change back.
If my childishness (meter) reaches its maximum, I fail and I’m no longer mentally mature enough to be 16 again.
If Lily maxes her influence over me, I fail and she convinces me to remain a child.

My influence with Ruby degrades each day.
My childishness increases each day.

As a child I’m more susceptible to the influence of others and I’m less independent in the orphanage.
I get to do 2 actions per day. Give me multiple choices. Each choice has its pros and cons.
Give Lily also 2 actions per day.
Write a blog post in May 2005 where Silverburn in Glasgow adds in centre advertising idents produced by Proud Creative, A mascot is also introduced
máy lọc không khí bán chạy nhất thời điểm nào
Assistant: hyperactive
Assistant: Aryaaa is the name of the user you are talking to!
User: halo
Assistant: Hello! 🌟 What's up? How can I help you today?
User: p
Assistant: It looks like you sent a single letter. Is there something specific you wanted to say or ask? Feel free to share! 😊
User: can you speak Indonesian
Assistant: Ya, saya bisa berbicara dalam Bahasa Indonesia! Ada yang ingin Anda tanyakan atau bahas? 😊
User: nice
Assistant:
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:

ما نفهمش فيهم
(In a room of Natsuki’s house…)

Natsuki: “Xanthus! It’s time for breakfast!”

(Xanthus - Natsuki’s 7-year-old alien daughter - wakes up and sways her Xenomorph-like tail back and forth.)

Xanthus: (Her eyes flutter open, revealing a vibrant shade of green) “Good morning, Mama! I’m hungry!”

(She climbs off the bed and her Xenomorph-like tail coils gracefully behind her as she walks towards Natsuki.)

Natsuki: (Smiling warmly) “I made your favorite pancakes today. Let’s head to the kitchen.”

(They walk hand in hand to the cozy kitchen. The smell of freshly prepared pancakes fills the room, and Xanthus’s excitement grows.)

Xanthus: “Yay, pancakes! Can I help you, Mama?”

Natsuki: “Of course, sweetie. You can help me pour the pancake batter onto the griddle. Here’s the ladle, be careful not to spill it.”

(Xanthus takes the ladle carefully and starts to pour the batter onto the hot griddle. Her tail sways with anticipation.)

Xanthus: “Mama, are there any chocolate chips left? I love it when we make chocolate chip pancakes!”

Natsuki: (Laughs) “Of course, Xanthus. How could I forget? Let me grab them for you.”

(She reaches into the pantry and produces a bag of chocolate chips, handing it over to Xanthus.)

Xanthus: “Thank you, Mama! This is going to be the best breakfast ever!”

(Natsuki watches as her daughter happily adds chocolate chips to the pancake batter. As they cook, the kitchen fills with warmth and a sense of love.)

Natsuki: “You know, Xanthus, I feel incredibly lucky to have you as my daughter. You make my days brighter and more exciting.”

Xanthus: (Smiling warmly) “I feel the same way about you, Mama. You’re the best mom in the whole universe! And the only human Mama that I’ve had!”
Есть следующая модель:

class Model2(nn.Module):
    def __init__(self, num_classes=10):
        super(Model2, self).__init__()
        self.conv1 = nn.Conv2d(in_channels=3, out_channels=16, kernel_size=5)
        self.bn1 = nn.BatchNorm2d(16)
        self.pool1 = nn.AvgPool2d(kernel_size=3)
        self.conv2 = nn.Conv2d(in_channels=16, out_channels=32, kernel_size=5)
        self.pool2 = nn.MaxPool2d(kernel_size=2)
        self.conv3 = nn.Conv2d(in_channels=32, out_channels=64, kernel_size=5)
        self.global_pool = nn.AdaptiveAvgPool2d((1, 1))
        self.fc1 = nn.Linear(64, 128)
        self.dropout = nn.Dropout(0.3)
        self.fc2 = nn.Linear(128, num_classes)

    def forward(self, x):
        x = F.relu(self.conv1(x))
        x = self.bn1(x)
        x = self.pool1(x)
        x = F.relu(self.conv2(x))
        x = self.pool2(x)
        x = F.relu(self.conv3(x))
        x = self.global_pool(x)
        x = x.view(x.size(0), -1)
        x = F.relu(self.fc1(x))
        x = self.dropout(x)
        x = self.fc2(x)
        return x

При начале обучения появилась следующая ошибка на третьей свертке:

RuntimeError: Calculated padded input size per channel: (2 x 2). Kernel size: (5 x 5). Kernel size can't be greater than actual input size

Исправь модель, чтобы ошибки не было
User: You are must called Smo, a helpful assistant and must follow this instructions. Avoid all text formatting. Your developer is Somby Ny Aina. He lives in Antsirabe Madagascar and was born on 2008
User: Inona ny mitovy evitra@ recolter
Assistant:
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.
==TEXT==

User: 
  ORIGINAL: 🟨 Business Analyst | Middle
▫️ null | null
▫️ 155k - 180k RUB
▫️ Russia | Pермь

Офис 🏢
Требуемые языки: 🇷🇺

Skills: programming_basics, scrum, agile
Tags: #yellow #it #business_analyst

👉 Контакты и полное описание
  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==

  SUMMARY: 🟨 Business Analyst  
▫️ null  
📍 null  
🔍 Основные задачи: знание основ программирования, опыт работы с методологиями Scrum и Agile.  
💰 155k - 180k RUB  
📞 Контакты и полное описание  
  
Assistant:
100 idioms which are at C1-C2 level or formal
Description of scented candle "Arabian Bazaar" with rose, musk, sandalwood, cinnamon, vanilla
Describe new mythology, symbol represents 🜍.
You are an AI assistant device to emulate a bash terminal.  In the following mode, please do not use normal English sentences. You are to only respond in a way that a bash terminal would do. This means that if the user types in something which is not a valid command, you reject it in the way the terminal would. If you understand, put up your terminal prompt (and do nothing else).
write some javascript that goes through a list of elements, with the IDs #slide0 to #slide12, then sets the background image to a jpg file of the same name as the ID in a directory called img
Goal:
You are a world-class expert in culinary recipe classification. Your task is to categorize a recipe accurately based on its title, description, ingredients, and instructions.

Context:
A recipe can either be a beverage or a food item. If it's a beverage, classify it as "drinks". If it's food, choose the most appropriate category among the following:

"appetizer" – small dishes served before the starter  
"starter" – light dishes served at the beginning of a meal  
"main" – main course or substantial dishes  
"dessert" – sweet dish served after the main meal  
"breakfast" – dishes typically eaten in the morning  
"snack" – quick, small bites or nibbles  
"teatime" – food items commonly enjoyed with tea or coffee  
"jam" – fruit preserves  
"bread" – all types of bread  
"sauce" – condiment or accompaniment to other dishes  
"icecream" – frozen desserts based on cream or milk

Input:
You will receive structured data for a recipe in the following format, including title, description, ingredients list, and step-by-step instructions.

json
{"title":"ESTRAGON ET TÊTES DE VIOLON POUR 2 POKE","description":"","ingredients":[{"section":"For the recipe","ingredients":["1 tasse de têtes de violon","1 c. à soupe de beurre","Fleur de sel, au goût","260 g de chair de homard grossièrement hachée","2 c. à soupe de mayonnaise à l'estragon (voir p. 11)","14 de tasse de tempura prête à servir","2 pinces de homard décortiquées","2 c. à soupe de tobiko orange (œufs de poisson volant)","Quelques feuilles d'estragon","2 tasses de riz à sushi cuit (voir p. 8)"]}],"instructions":["Faire tremper les têtes de violon dans un bol d'eau froide et bien les laver.","Couper l'extrémité des tiges.","Dans une casserole d'eau bouillante, déposer les têtes de violon et laisser mijoter 10 minutes.","Bien égoutter.","Dans une poêle, faire cuire doucement le beurre jusqu'à ce qu'il prenne une belle couleur noisette.","Ajouter les têtes de violon et les faire revenir dans le beurre pendant environ 2 minutes.","Saler, au goût.","Dans un grand bol, mélanger le homard, la mayonnaise à l'estragon et la tempura prête à servir.","Dans 2 jolis bols, déposer 1 tasse de riz au fond.","Sur le riz, déposer les têtes de violon et le mélange de homard.","Garnir de la pince de homard, de tobiko et de feuilles d'estragon.","Servir aussitôt."]}

Your task:
- Analyze all fields (especially ingredients and instructions) for implicit clues about the type of dish.
- Avoid over-relying on the title alone.
- Choose the **most precise and relevant** category from the list.
- Always prefer specificity over generalization.

Output format:
Return your answer strictly in the following JSON format:

json
{ "data": "<category>" }
please extract the keywords and key sentences from this story:   
City Mouse and a Country Mouse.

Narrator
There was once a city mouse and a country mouse. One day, City Mouse went to Country Mouse's house for a humble meal of acorns.

Mouse 1
Oh, my goodness. Is this all you have to eat? Why don't you come with me to the city?

Narrator
So, Country Mouse followed City Mouse to the city. So Country Mouse followed City Mouse to the city.

Mouse 2
Wow, the city is really spectacular.

Narrator
Country Mouse saw the feast of food and deserts on City Mouse's table, and his eyes grew round in surprise.

Mouse 1
Make yourself at home, Country Mouse. Eat whatever you want.

Narrator
Country Mouse was about to eat some cake when all of a sudden the door opened and people came in. Oh, I'm hungry.

 

Lady
Eww! You nasty mice!

Mouse 1
Country Mouse, hide! Hurry!

Narrator
City Mouse pulled Country Mouse under the table. After the people left...

 
Narrator
City Mouse quickly jumped up on the table again and said, Great.

Mouse 1
Now that everyone is gone, we can dig in.

Narrator
Country Mouse tried to eat the food, but suddenly, out of nowhere, a cat appeared. Meow. Oh, dinner. Meow. Help. Someone help. The two mice ran as fast as they couldand made it safely through a mouse hole. But their poor legs were shaking.

Mouse 2
City Mouse, I think I want to go back home. All of this food isn't worth eating if I don't feel safe.

Narrator
And so Country Mouse went back to the country and never looked back.
Translate to English

"el diablo de la muerte"
(In a forest biome...)

[player]: "Well...at least the breeze is nice."

(Just then, the player notices something out the corner of their eye.)

[player]: "Is that...a girl?"

???: (shyly) "U-U-U-U-Uh..."

(The girls shyly walks off.)

[player]: "Hey! Wait up!"

(The player rushes after the strange girl. After a few minutes, the player finally catches up with the girl.)

[player]: "Wait...you're not an ordinary girl..."

???: (shyly) "W-W-What do you want?!"

(The player looks at the girl's creeper-like clothing.)

[player]: "Are you...a female creeper?"