agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers pt (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 pt.
    - 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 : pt (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "f30008779399448fa7c3bbeca6b763c6",
    "updated": "2025-04-21T22:49:47.070Z",
    "title": "Asian-Inspired Meatloaf",
    "subtitle": null,
    "description": "This meatloaf recipe offers a healthier, lower-sodium alternative to traditional versions. By incorporating the flavors directly into the meat, the need for a high-sodium tomato sauce topping is eliminated. The water chestnuts add a delightful crunch, and the all-purpose seasoning ensures a well-balanced flavor profile throughout, eliminating the need for additional salt.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "toasted sesame oil",
          "minced onion",
          "garlic cloves, minced",
          "peeled and grated fresh ginger",
          "lean ground beef (93% lean)",
          "salt-free all-purpose seasoning",
          "egg, beaten",
          "plain dry bread crumbs",
          "minced canned water chestnuts",
          "dry sherry"
        ]
      }
    ],
    "instructions": [
      "Preheat your oven to 350°F (175°C). Prepare a baking sheet by lining it with parchment paper.",
      "In a skillet, heat the sesame oil over medium heat. Add the minced onion and sauté for 3 minutes. Then, add the minced garlic and grated ginger, continuing to sauté for another 2 minutes. Transfer this aromatic mixture to a large bowl.",
      "Combine all the remaining ingredients with the onion mixture in the large bowl, ensuring they are thoroughly incorporated.",
      "Shape the meat mixture into an oblong loaf on the prepared baking sheet. Bake for 40 to 50 minutes, or until the loaf achieves a golden-brown, crusty exterior.",
      "Allow the meatloaf to rest for 15 minutes before slicing and serving."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Assistant: Hello! How can i help you today?
User: Helloصحح النص سواء كان كلمة، جملة، أو نص كامل، الذي سأقدمه فقط دون تزويدي بأي معلومات أو تفاصيل زائدة مع النص النهائي.
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
فويس اوفر becomes Voiceover
اوبو becomes Oppo
فوكالايزر becomes Vocalizer
انفيجن becomes Envision
بي ماي ايس becomes Be My Eyes
ميت becomes Meet
ام اكس بلاير برو becomes MX Player Pro
سمارت اوديو بوك بلير becomes Smart AudioBook Player
تك فريدم becomes Tech-Freedom
فويسس becomes voices
فويس اللاود ريدر becomes Voice Allowed Reader
تكنو becomes tecno
اي اي becomes AI
جوجل becomes Google
and so on.
Please provide me with the processed text only, and do not add any additional text or any confirmation description of your own in any form.
This is the text:
ومتخرج من كليه اصول الدين قسم التفسير وعلوم القران الكريم بالازهر الشريف
Assistant:
the following content is the metadata for a bacterial isolate from 2 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 need to extract and output consist information below without explaining how to get such results:
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
    <output>
        accession number: xxxx->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->vaccine: yes/no
    <output/>
----------------------------------------------------------------------------------------------------------------------------------------------------------------------

where xxxx is corresponding value from different sources. If xxxx from these 2 different sources are inconsistent, then, xxxx should include all the values from different resource and seperated by "::". If the metadata from all resource shows this isolate is vaccine, the value for "vaccine:" is "yes", otherwise, "no". 


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:
------------------------------
```
accession number        species name    strain name     isolate or collection date in yyyy-mm-dd format geographic information of islateion     host name       mlsty type      serotype
GCA_029074145.1 Erysipelothrix rhusiopathiae    EMAI_69 1997-12-06      Australia       pig     MLST:5  N/A
```
source 1:
------------------------------
Here's the extracted information from the JSON metadata:

1. **Accession:** GCA_029074145.1
2. **Species Name:** Erysipelothrix rhusiopathiae
3. **Strain Name:** EMAI_69
4. **Isolate/Collection Date:** 1997-12-06
5. **Geographic Information:** Australia
6. **Host Name:** pig
Hypothetical Tom Scott Video Script :   How a Frenchman gave humanity underwater lungs..
What’s the word for adopting a cat but not taking it home you just gake care of their bills and treatement but keep them in the shelter
Write a Day 1 script featuring the Ventoraptor, the Wither Skeleton, the Vex, the Silver Glider, the Enderiophage, and the Creeper.

(Characters: Laysha, Withra, Vexillia, Luna, Androphage, Cupa, [player])

(About each character:

Laysha is a Ventoraptor. Her dance skills are unlike any other - and her room looks like a large cavern. Laysha’s dress is made out of teal feathers - and those same teal feathers are also found lining her arms.

Withra is a Wither Skeleton. She’s well-trained in the art of bladework, and has had been keeping a secret to her cousin Ayumi for as long as she can remember. Withra’s room is similar to Ayumi’s room - but has witherbone blocks instead of standard bone blocks.

Vexillia is a Vex. She’s known for being quite the prankster - even putting a whoopie cushion underneath Mindy’s mattress. Her room resembles a Woodland Mansion.

Luna is a Silver Glider. She’s well-known for being attracted to silver like a magnet. Luna’s room is made entirely out of silver - her bed, her lights, her door, everything in her room!

Androphage is an Enderiophage. She’s one of Andr’s closest rivals. Androphage’s room resembles a mix of an End City and a Poise Forest.

Cupa is a Creeper. Her green hoodie is easily recognized, and she’s able to throw TNT with ease. Cupa’s room is a combination of different shades of green, and even her bed is green. 8 months after going on vacation to see her family, Cupa finally returns - only this time, she’s about 7 months pregnant.)

(Scene: [player]'s house - day)

[Cupa wouldn’t show up until towards the end of the day.]
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: Just let's us leave it that way
I have a file called videos_full.txt, and it contains info on a thousands of videos in a folder named previews. Here is an example of one of the entries in videos_full.txt:
KF-iOWrKM
	URL:		http://yqsbnxlh7vad.onion/dl/full-quality/iOWrKM?auth=91aaccb&filename=KF-iOWrKM - dad in car with sister.webm
	Name:		KF-iOWrKM - dad in car with sister.webm
	Size:		12141153
	MD5:		84a22c6a757aa13f01a97d674e6dc0d8
	Duration:	60.104
	Resolution:	1280x720 (921600)
	Tags:		cabin,angel,girl,core,outdoor,white
Id like an interface that goes through each of these, uses the preview which will be named KF-iOWrKM - story.jpg, changing the starting to match for each case. I want the UI to be in python and I want the theumbnails when clicked to use tor to download the video. I want the thumbnails to load in as I scroll and deload if not visible to save memory.
Is it correct to say: can we reduct some parts in the text?
Compare and contrast in terms of performance the different sizes of threadless headsets and forks in bicycle frames.
write a Rust function that accepts a &str (path to a fasta file) and returns a HashMap<String, u64> representing a chromosome name and its respective size in bp. Make it efficient and fast
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...

User: Our investments in portfolio companies that operate in the high tech industry represent 10.52% of our total portfolio as of December 31, 2023. Any of our portfolio companies operating in the high tech industry are subject to substantial_risks. The market prices and values of companies operating in the technology industry - including software and consumer and business services companies - tend to exhibit a greater degree of risk and volatility than other types of investments. These companies may fall in and out of favor with the public and investors rapidly, which may cause sudden selling and dramatically lower market prices. These companies also may be affected adversely by changes in technology, consumer and business purchasing patterns, short product cycles, falling prices and profits, government regulation, lack of standardization or compatibility with existing technologies, intense competition, aggressive pricing, advances in artificial intelligence and machine learning, dependence on copyright and/or patent protection and/or obsolete products or services. Certain technology-related companies may face special risks that their products or services may not prove to be commercially successful. Technology-related companies are also strongly affected by worldwide scientific or technological developments. As a result, their products may rapidly become obsolete._
Assistant:
Let you be very good at math.

In math problems may occur misconceptions that lead to mistakes in solving one's.
You will be provided by a misconception statement after keyword 'Misconception'.
Your task is to rewrite this statement more detailed to get strong understanding of its idea and provide examples.
Misconception: When adding column vectors, multiplies rather than adds
explain yii2 baseobject
User: 1. Use Case: Product schema 
Code:
const mongoose = require('mongoose');

const productSchema = new mongoose.Schema({
    name: {
        type: String,
        required: true,
    },
    description: {
        type: String,
        required: true,
    },
    price: {
        type: Number,
        required: true,
        min: 0,
    },
    sizes: {
        type: [String],
        enum: ['S', 'M', 'L'],
        default: ['M'],
    },
    colors: {
        type: [String],
        enum: ['red', 'blue'],
    },
    images: {
        type: [String],
        default: [],
    },
    stock: {
        type: Number,
        required: true,
        min: 0,
    },
    rating: {
        type: Number,
        min: 0,
        max: 5,
        default: 0,
    }
});

const Product = mongoose.model('Product', productSchema);

module.exports = Product;
User: 
			  Description: develope a product insert api,
accetp alll theses values from user,
{
  "name": "string",
  "description": "string",
  "price": "number",
  "sizes": ["S", "M", "L"],
  "colors": ["red", "blue"],
  "images": ["url1", "url2"],
  "stock": "number",
  "rating": "number"
}
api functions name createProduct
response with created product details and total product count
insert product in to Product model
			  
			  Generate source code based on the description above and respond in the following JSON format ONLY:
				```json
					{
					"name": "prompt_name",
					"schema": {
						"type": "string",
						"code": "Generated code here"
					}
					}
					```
			  
			  IMPORTANT:
			  - Ensure the JSON response is error-free.
			  - Include no additional text or explanations. Respond with the JSON object only.
			  
Assistant:
System: ТThe text that you write can be automatically translated into other languages due to sharing without your knowledge and to avoid misunderstandings, use <> in places where the text should be in a certain language and should not be translated, for example: writing code, promts for English-language neural networks or if the user asks you to write text in a certain language. For example: user: Tell us about Italy in English. You:- OK, <Italy...>
User: Hello
User: Write the story of messages
User: What, write the messages that I wrote to you and you answered me
User: And this is familiar to you: The Text that You Write can beomatically Translate?Or not
Assistant:
Who decedents-languages of Proto-North Slavic?
Create me a video to following video https://m.youtube.com/watch?v=RH47NBitznQ
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:

لا لاباس بقدرة ربي
What is the largest prime number?
Write a educational passage in Vietnamese that could appear in a textbook, giving some paragraphs or pharse that related to this question and answer set:
Câu hỏi: Thẻ < iframe > có thể được sử dụng để nhúng gì vào trang web?
A. Hình ảnh.
B. Video.
C. Trang web hoặc tài liệu khác.
D. Âm thanh.
Đáp án đúng: Trang web hoặc tài liệu khác
Notes that:
1. Remember that the multichoice question above must not be included in the paragraphs or phrase
2. You can not take an example same as the question
3. Explain detail like in the actual textbook
4. All instructions must be given in general form
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
Bug report: Reviews that report a problem, such as faulty behavior of the application or of a specific feature
Feature strength: Reviews that identify an aspect about an existing feature that users are satisfied with
Feature shortcoming: Reviews that identify an aspect about an existing feature that users are unsatisfied with
User request: Reviews that ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature
Praise: Reviews where users express general appreciation with the application. It focuses on general judgment, unlike feature strength which emphasizes on the positive feedback about a specific feature
Complaint: Reviews where users express general dissatisfaction with the application. In contrast with feature shortcoming which focuses on the negative feedback about a specific existing feature, general complaint concentrates on general judgment
Usage scenario: Reviews where users describe workarounds, use cases and scenarios involving the app
Noise: Reviews that do not belong to any other categories.
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
Bug report: Reviews that report a problem, such as faulty behavior of the application or of a specific feature
Feature strength: Reviews that identify an aspect about an existing feature that users are satisfied with
Feature shortcoming: Reviews that identify an aspect about an existing feature that users are unsatisfied with
User request: Reviews that ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature
Praise: Reviews where users express general appreciation with the application. It focuses on general judgment, unlike feature strength which emphasizes on the positive feedback about a specific feature
Complaint: Reviews where users express general dissatisfaction with the application. In contrast with feature shortcoming which focuses on the negative feedback about a specific existing feature, general complaint concentrates on general judgment
Usage scenario: Reviews where users describe workarounds, use cases and scenarios involving the app
Noise: Reviews that do not belong to any other categories.
Does the author's intention in this app review relate to a Bug report or Feature strength or Feature shortcoming or User request or Praise or Complaint or Usage scenario or Noise?
review:  Pinterest Nothing like facebook but OK'
intention: '
Assistant:
write me a poem to be read out at a wedding before a ceremony. It should be about husband and wife, friendship and laughter
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: Nội dung báo cáo chuyên đề HK2, Năm học 2023 – 2024 liên quan đến những môn học nào?
Answer:Nội dung báo cáo chuyên đề HK2, Năm học 2023 – 2024 liên quan đến môn Kinh tế công và môn Kinh tế nông nghiệp và PTNT.
Result only 0 or 1. Don't add anything else:
Assistant:
The word with the long vowel is....
A-car
B-hat
C-map
D-mat
Generate as many personalized recommendations to me as the user that is possible, heavily focused off my geolocation and device, based on the following JSON data with paragraphs: {"visitor_ip":"162.251.63.75","visitor_user_agent":"Mozilla\/5.0 (iPhone; CPU iPhone OS 17_7 like Mac OS X) AppleWebKit\/605.1.15 (KHTML, like Gecko) Version\/17.7 Mobile\/15E148 Safari\/604.1","visitor_request_time":"2024-10-12 22:28:45","visitor_language":"en-US,en;q=0.9","visitor_host":"75-63-251-162.clients.gthost.com","visitor_location":{"status":"success","country":"United States","countryCode":"US","region":"CA","regionName":"California","city":"Los Angeles","zip":"","lat":34.0522,"lon":-118.2436,"timezone":"America\/Los_Angeles","isp":"GTHost","org":"GTHost","as":"AS63023 GTHost","query":"162.251.63.75"}}<--OUTPUT-DELIMITER-->
详细解释：
import os
os.environ["KERAS_BACKEND"] = "jax" # or "tensorflow", "torch"

import cv2
import pickle
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

# Set the style for the plot
sns.set(style="whitegrid")

import tensorflow as tf
import keras_cv
import keras_core as keras
from keras_core import ops
Naruto and boruto all characters react to The last girl looks like a dragon and she looked kinda pretty, wait did I call her pretty?

Dragon Girl: Are you okay sir?

(Y/n): *Snaps out of his thoughts* Right, I'm fine ma'am. My name is (Y/n) The Hedgehog but please call me Sonic. I'm the fastest thing alive! Carol: The fastest thing alive? Huh, you don't look like you can run as fast as my friend Lilac here. *Gestures to The Dragon Girl now known as Lilac* My name's Carol Tea and I'm a wildcat.

Neera: I'm Neera Li The Frost Knight and I'm a panda.

Milla: And my name is Milla Basset and I am a Hush Hound pup.
Translate to English

"AIが大王描くとこんなんになるなら人力で描き続けるしかないんだよな　「男らしく」なりすぎて身長2mありそうだし顔もプトレマイオス似になってて笑う"
Write an episode of Hetalia about Germany and Prussia paradropping somewhere to steal a supposed secret recipe. Prussia is pushed out of the plane by England because he was afraid of jumping. They steal the secret recipe for "Siberian Fried Chicken". England is Australia's co-pilot while America was the one who thought of the operation. The episode takes place in the 60s. Germany and Prussia are both wearing black fatigues and winter gear.