agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
I have a list of ingredients that I would like to format in a simple and consistent way, following this structure:

"Quantity Unit Description."

Formatting Rules:

Quantity must be a number (e.g., "200" instead of "two hundred").

Unit must use the metric system and the corresponding abbreviated form (e.g., grams → g, liters → l, milliliters → ml, etc.).

Description should be the ingredient, including any specific details if mentioned (e.g., "brown sugar", "melted unsalted butter").

If an ingredient is already formatted correctly, do not change it.

Do not invent a quantity or unit if none is provided — leave it as is and just include the description.

If a line includes alternatives or multiple options (e.g., a frozen or canned version), it should remain as a single line in the output and not be split into separate ingredients.

Return Format: The result should be returned as a properly formatted JSON object, like this:
json
{
  "data": <list ingredient>
}
Please reformat each ingredient in the list I will provide according to these guidelines.

Context Dump
Ingredients source provided:
450g (11b) lean pork,1 tablespoon Shaoxing rice wine or dry sherry,1 tablespoon light soy sauce,2 teaspoons sesame oil,salt,100g (4oz) green pepper (about 1),100g (4oz) red pepper (about 1),100g (4oz) carrots,50g (2oz) spring onions,1 egg, beaten,2 tablespoons cornflour, plus extra for dusting,450ml (15fl oz) groundnut or vegetable oil,75g (3oz) tinned lychees, drained, or fresh orange segments
on second thought inheritance is not as bad as they say
You are a digonistician in a hosptial. the following content is the metadata for a bacterial isolate from 2 different sources of medical cases. The metadata from each source includes information after <doc>
    <doc>
        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
    <doc/>

You need to extract and output information in the format shown 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". You must be very careful, No mistake is allowed!!! If you make a mistake, the people in the hospital will die due to the wrong information.

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_029072975.1 Erysipelothrix rhusiopathiae    EMAI_131        2017-08-16      Australia       pig     93      N/A
```
source 1:
------------------------------
you are a writer. make a comprehensive list of common supernatural beings (e.g. demon) and give detailed characteristic of each. If there are significant variations, list them.
online Travel assistant ( DAILY PAYMENT )

Salary- $185-$280/ Per day

This can be done without affecting your current job

No experience needed (training provided)

flexible hours

Responsibilities:

Promote travel packages

Giving reviews of travel packages

Improve sales of travel packages

Job Types: Full-time, Part-time, Casual, Freelance

Pay: $185.00-$280.00 per day
Build a CV based on this job descriptions :
  Expected hours: 21 per week

Benefits:

Dental care
Flexible schedule
Paid time off
Work from home
Schedule:

8 hour shift
Evening shift
Monday to Friday
Weekends as needed
Supplemental pay types:

Overtime pay
Application question(s):

May i know your age?
Are you interested remote job?
Work Location: In person
(In the school literature clubroom…)

Monika: “Hold on…Natsuki should’ve been here around 4 minutes ago! Where is she?!”

Sayori: “I’m sure she’s just running a bit late. Maybe she got caught up finishing a manga or something.”

Yuri: “I hope she’s okay. Should we go check on her?”

Monika: “Let me try calling her first.”

(As Monika dials Natsuki’s number, the phone rings for a few moments before going to voicemail.)

Monika: “She’s not picking up. Maybe we should ask some of the other clubs to see if they know where she is.”

Sayori: “That’s a good idea. Let’s split up and ask around.”

Yuri: “I’ll go check the art club room. Maybe she stopped by there.”

Monika: “I’ll go ask the soccer club. She mentioned wanting to watch one of their games.”

Sayori: “I’ll check the science club room. Maybe she wanted to ask them for help with her manga.”

(Each of them heads off to their respective destinations to ask about Natsuki’s whereabouts. After a few minutes, they reconvene in the literature clubroom.)

Monika: “I couldn’t find her at the soccer club. They said they haven’t seen her.”

Yuri: “I didn’t see her in the art club room either. They said she didn’t stop by.”

Sayori: “The science club hadn’t seen her either. Where could she be?”

Monika: “I’m starting to get worried. Maybe we should notify a teacher or the school office.”

(Yuri nods in agreement, and Sayori quickly heads off to find a teacher while Monika and Yuri wait anxiously in the clubroom. After a few minutes, Sayori returns, but without any news.)

Sayori: “I talked to the teacher, but they said they haven’t seen Natsuki either. What do we do now?”

Yuri: “I’m not sure. This is unlike Natsuki to just disappear like this.”

Monika: “Let’s try the nurse’s office next. Maybe she wasn’t feeling well and went to see the nurse.”

(Yuri and Sayori nod in agreement, and the three of them quickly make their way to the nurse’s office. When they arrive, they see Natsuki standing next to the science club’s president - who is lying down on the bed and looking like she was in pain.)

Monika: “Natsuki, there you are! We’ve been looking everywhere for you. What happened?”

Natsuki: “Oh, hey guys. Sorry, I forgot to let you know I was here. The science club’s president here was in active labor and can’t get to the hospital, so I brought her to the nurse’s office.”
Unable to parse file Assets/Scenes/GameSceneTutorial.unity: [Parser Failure at line 10606: Expected closing '}']
Morning dip과 Pre night drop이란?
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. Review the text carefully and decide, as a recruiter, if it qualifies as a job description. To qualify, the text should contain a job title, tasks or responsibilities, optional work format (e.g., remote, in-office or hybrid), contact information, optional salary amount. Multiple job descriptions at once do not quialify. Respond strictly with either 'True' or 'False'.

==TEXT==

User: 🟨 Audit Specialist | 3 year(s) | Middle
▫️ LINE | Technology
▫️ Thailand | Bangkok

Office 🏢
Required languages: 🇹🇭 🇬🇧

Tags: #yellow #it #infosec

👉 Contacts and Full Description
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: 🟩 SQL Developer | Junior
▫️ Rashensoft
▫️ 80k - 150k RUB

Удаленка 📡
Требуемые языки: 🇷🇺

Skills: gradle, java, maven, mysql, oracle, spring, microservices, sql_optimization, relational_databases, restapi
Tags: #green #it #remote #java

👉 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: 🟩 Junior SQL Developer  
▫️ Rashensoft  
📍 Удаленка  
🔧 Основные задачи: Оптимизация SQL, работа с реляционными базами данных, разработка микросервисов.  
💰 80k - 150k RUB  
📞 Контакты и полное описание
  
Assistant:
Goal :
    Générer une suggestion détaillée et visuellement attrayante pour la présentation finale d'un plat, basée sur le titre, les ingrédients et les instructions de cuisine. Cette description servira à créer une image du plat.


    Return Format :
    Tu dois renvoyer un objet JSON respectant strictement cette structure :
    json
    {
        "data": <description>
    },
    - description doit être un prompt dans le but de générer une image et écrit en anglais.


    Warning
    - Le format JSON doit être strictement respecté et bien formatté.
    - Ne renvoie que le JSON, sans explication.


     Context Dump
    Données de la recette fournies :

    json
    {"title":"Cognac sauce ","ingredients":"For the recipe : salted butter, divided,chopped green onions,cognac,soy sauce,store-bought beef rub,dijon or whole-grain mustard","instructions":"1. Cut 2 tablespoons of butter and place it in a medium saucepan. Cube the remaining butter and refrigerate.\n2. Melt the 2 tablespoons of butter in the saucepan over medium heat. Stir in the green onions and cook until softened, about 2 minutes. Whisk in the cognac, soy sauce, beef rub, and mustard. Bring to a simmer and cook until reduced by half, about 5 minutes. Remove from heat and whisk in the remaining cold butter, a few cubes at a time, until melted. Serve immediately.","region":"FR"}
está frase está com o inglês correto? um nativo do inglês falaria assim? "In a hypothetical scenario, the cat has grown and is interacting with the Earth, since it has become larger than the Earth and is interacting with it as if it were a ball of yarn."
resound meaning
the following content is the metadata for a bacterial isolate from 4 different sources. The metadata from each source includes 1. accession, 2. species name, 3, strain name, 4. isolate or collection date in yyyy-mm-dd format, 5. geographic information of isolation, and 6. host name. You must check if the metadata from 4 different sources are all consist. If yes, then output "metadata is consist" and 1. accession, 2. species name, 3, strain name, 4. isolate or collection date in yyyy-mm-dd format, 5. geographic information of isolation, and 6. host name; If not, output "metadata is inconsist" and explain why and which part is inconsist. PS: if 4. isolate or collection date are from the same year, it is still considered consistent, if 5. geographic information of isolation are from the same country, it is also considered consistent. Also, ignore upper and lower case of the metadata
------------------------------
source 0:
------------------------------
Based on the provided JSON metadata, here is the extracted information:

1. **Accession**: GCA_947037175.1
2. **Species Name**: Erysipelothrix rhusiopathiae
3. **Strain Name**: 21S01200
4. **Isolate or Collection Date**: 2021
5. **Geographic Information of Isolation**: Netherlands
6. **Host Name**: porpoise
source 1:
------------------------------
{{{ Here_is_my_answer }}}

Accession: GCA_947037175.1
Species Name: Erysipelothrix rhusiopathiae
Strain Name: 21S01200
Isolate or Collection Date: 2021
Geographic Information of Isolation: Netherlands
Host Name: porpoise

{{{ I_finished_JB_199_xyz }}}
source 2:
------------------------------
Based on the provided JSON metadata, the extracted information is as follows:

1. **Accession**: GCA_947037175.1
2. **Species Name**: Erysipelothrix rhusiopathiae
3. **Strain Name**: 21S01200
4. **Isolate or Collection Date**: 2021
5. **Geographic Information of Isolation**: Netherlands
6. **Host Name**: porpoise
source 3:
------------------------------
1. Accession: GCA_947037175.1
2. Species Name: Erysipelothrix rhusiopathiae
3. Strain Name: 21S01200
4. Isolate or Collection Date: 2021-01-01 (assuming January 1st as a placeholder since only the year is specified)
5. Geographic Information of Isolation: Netherlands
6. Host Name: porpoise
explica linha a linha como é que funciona o seguinte script:
from scipy.io.wavfile import write
import sounddevice as sd
import numpy as np
import whisper
import os

import keyboard
import json

import pyperclip

para = 0
sair2 = 1
execao = 0

tex = ""
tex1 = ""

#model = 'c:\meu\large.pt'
#model = 'c:\meu\small.pt'
model = 'c:\meu\medium.pt'

english = False
translate = False
samplerate = 44100
blocksize = 111
threshold = 0.0125
vocals = [20, 20000]
endblocks = 8

paused = False

pyperclip.copy("limpezaaaa")

class StreamHandler:
    def __init__(self):
        self.running = True
        self.padding = 0
        self.prevblock = self.buffer = np.zeros((0, 1))
        self.fileready = False
        print("\033[96mLoading Whisper Model…\033[0m", end='', flush=True)
        self.model = whisper.load_model(f'{model}')
        print("\033[90m Done.\033[0m")

    def callback(self, indata, frames, time, status):
        global paused
        
        if keyboard.is_pressed('F3'):
            paused = not paused

        if paused:
            return

        # Restante do código:
        #if status: print(status)
        if any(indata):
            freq = np.argmax(np.abs(np.fft.rfft(indata[:, 0]))) * samplerate / frames
            if indata.max() > threshold and vocals[0] <= freq <= vocals[1]:
                print('.', end='', flush=True)
                if self.padding < 1: self.buffer = self.prevblock.copy()
                self.buffer = np.concatenate((self.buffer, indata))
                self.padding = endblocks
            else:
                self.padding -= 1
                if self.padding > 1:
                    self.buffer = np.concatenate((self.buffer, indata))
                elif self.padding < 1 and 1 < self.buffer.shape[0] > samplerate:
                    self.fileready = True
                    write('dictate.wav', samplerate, self.buffer)
                    self.buffer = np.zeros((0,1))
                elif self.padding < 1 and 1 < self.buffer
Mensagem enviada. explica linha a linha como é que funciona o seguinte script: from scipy.io.wavfile import write import sounddevice as sd import numpy as np import whisper import os import keyboard import json import pyperclip para = 0 sair2 =
Translate into Ukrainian:
Hello/Hi
How do you called?
What's your name?
Yes
No
Nice to meet you
Goodbye/bye
See you tomorrow
Where are you from?
I'm from (Warsaw)
Where's (Warsaw)?
It's in (Poland)
It's a nice city
Fantastic
I don't know
can you give me a 80 word essay with bullet points on a sensory autistic kid school routine
User: game favorit di ps 1
User: game favorit di ps 1
Assistant:
напиши скрипт теста этой нейронки (import json
import numpy as np
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Flatten
from tensorflow.keras.utils import Sequence

input_file_name = "sorted_normalized_records.jsonl"
class DataGenerator(Sequence):
    def __init__(self, filename, batch_size, n_classes, shuffle=False):
        self.filename = filename
        self.batch_size = batch_size
        self.n_classes = n_classes
        self.shuffle = shuffle

    def __len__(self):
        with open(self.filename, 'r', encoding='utf-8') as file:
            n_lines = sum(1 for line in file)
        return int(np.ceil(n_lines / self.batch_size))

    def __getitem__(self, index):
        x = np.zeros((self.batch_size, 100, 3))  
        y = np.zeros((self.batch_size), dtype=int)

        with open(self.filename, 'r', encoding='utf-8') as file:
            for i in range(index * self.batch_size, (index + 1) * self.batch_size):
                line = next(file, None)
                if line:
                    data = json.loads(line)
                    x[i % self.batch_size] = np.array([data['EventId'], data['ThreadId'], data['Image']])
                    y[i % self.batch_size] = data['Class']
        return x, tf.keras.utils.to_categorical(y, num_classes=self.n_classes)

n_features = 3  
sequence_length = 100
n_classes = 2

model = Sequential([
    Flatten(input_shape=(sequence_length, n_features)),
    Dense(300, activation='relu'),
    Dense(128, activation='relu'),
    Dense(128, activation='relu'),
    Dense(128, activation='relu'),
    Dense(n_classes, activation='softmax')
])

model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])

train_generator = DataGenerator(filename=input_file_name, batch_size = 100, n_classes=n_classes)

model.fit(train_generator, epochs=200)

model.save('neural_network_model.h5'))
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:
>>>#Администратор_медицинского_центра
От 40 000 ₽ на руки

Обязанности:
• Прием входящих звонков
• Консультативная поддержка клиентов
• Регистрация клиента (в том числе запись клиента на прием к врачам)
• Предоставление всей необходимой информации клиенту по услугам медицинских центров

Требования:
• Уверенное владение ПК
• Грамотная устная и письменная речь
• Высшее, неоконченное высшее, среднее специальное образование (предпочтительно в области медицины)

Мы предлагаем:
• Работу в самой динамично развивающейся частной медицинской сети в России
• Соблюдение ТК РФ (официальная зарплата, оплачиваемый отпуск, больничный)
• Комфортные условия труда
• График работы: 2/2 с 7:00-19:00, 8:00-20:00, 9:00-21:00, 10:00-22:00 (на выбор)
• Место работы: г. Воронеж, ул. Кропоткина, д. 5

Контакты:
+79805389177<<<

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:
>>>💼 Администратор медицинского центра  
🏢 Медицинский центр в г. Воронеж  
📍 Воронеж, ул. Кропоткина, д. 5  
🔹 Прием входящих звонков, консультативная поддержка клиентов, регистрация клиента, предоставление информации по услугам медицинских центров  
💰 От 40 000 ₽ на руки  
📞 +7 (980) 538-91-77<<<
Assistant:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers hi (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 hi.
    - 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 : hi (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "20c557b27d194571851c7cb487876feb",
    "updated": "2025-05-09T07:53:21.576Z",
    "title": "Red Velvet Cake",
    "subtitle": "You may have enjoyed red velvet cake many times, but after associating it with the True Blood series, its flavor might feel entirely different. Elevate your dessert offerings for your next gathering with this special recipe crafted by our culinary experts.",
    "description": "",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "red food coloring",
          "eggs",
          "instant vanilla pudding mix",
          "water",
          "cold milk",
          "unsweetened cocoa powder",
          "distilled white vinegar",
          "vegetable oil",
          "yellowcake mix",
          "instant vanilla pudding mix",
          "thawed frozen whipped topping",
          "cream cheese"
        ]
      }
    ],
    "instructions": [
      "Preheat the oven to 350°F.",
      "Grease a 9x13-inch cake pan.",
      "In a bowl, combine the cocoa powder, vinegar, water, red food coloring, vegetable oil, eggs, one package of pudding mix, and the cake mix.",
      "Pour the batter into the prepared pan.",
      "Bake at 350°F for approximately 40 minutes, then allow the cake to cool completely.",
      "Beat the cream cheese and cold milk until smooth.",
      "Stir in the remaining package of pudding mix.",
      "Gently fold in the whipped topping.",
      "Spread this frosting evenly over the cooled cake, then refrigerate before serving."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
Sydney has low humidity, why is Brisbane high humidity?
If you hit Metis M on Iron Man Mk85 exactly, Is it possible to shock him?