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:
400g pork shoulder,1 tablespoon of oil,2 tablespoons of grain mustard,black pepper,salt,1 ripe mango,lemon
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:

انشاالله في أوت في أوت بإذن الله
Select all that apply to the question: "Identify all of the traits that are correct for anatomically modern humans."
1. Defined chin
2. Large brow ridges
3. High, vertical forehead
4. Average cranial capacity of 750cc
Respond with the numbers of the answers that apply (numbers 1 through 4), separated by commas.
Assistant: 
User: System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
Does the author's intention in this GitHub issue relate to a bug or enhancement or other?
issue: bei mir werden URL deutlich über den Rand nach rechts hinaus angezeigt'
intention: '
Assistant:
Assistant:
Hello. Can you come up with a concept for an MSM monster with the Fire, Faerie, and Water elements?
Goal :
    Générer une suggestion détaillée et visuellement attrayante pour la présentation finale d'un plat, basée sur le type, le titre, les ingrédients et les instructions de cuisine. 
    Cette description servira à créer une image du plat.


    Return Format :
    Renvoies 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 :

    Le type de la recette est un plat principal.

    json
    {"title":"Glazed grilled lamb skewers A delightful dish perfect for summer gatherings or a memorable family meal.","category":"main","ingredients":[{"section":"For the recipe","ingredients":["lamb, cut into 2-inch cubes (leg of lamb is suitable for this)","ripe but firm peaches, halved and quartered, yielding a total of 8 chunks per peach","molasses","dijon mustard","cider vinegar","garlic, finely minced (1 clove /p) or pressed (1 unit /p)","cayenne pepper","salt and freshly ground black pepper","freshly squeezed lime juice","olive oil","baby arugula"]}],"instructions":["Thread 5 pieces of lamb and 4 pieces of peach alternately onto four 14-inch metal skewers, beginning and ending with lamb. Arrange the skewers on a large platter.","In a small bowl, mix together the molasses, mustard, vinegar, garlic, and cayenne pepper. Season with salt and black pepper, and stir until well combined.","In a separate small bowl, whisk the lime juice and olive oil together. Incorporate 2 tablespoons of the molasses glaze and mix thoroughly; set aside.","Drizzle the remaining glaze over the lamb skewers, ensuring they are well coated on all sides. A spoon may help to evenly cover the meat and fruit.","Preheat a gas grill on high. When heated, spray the grill grates with cooking spray or brush them with oil. Place the skewers on the grill, keeping the leftover glaze aside. Grill for 4 minutes, then brush with some of the reserved glaze. Flip the skewers and grill for another 4 minutes, applying a bit more glaze. Flip once more and grill for an additional 4 minutes, until the lamb is thoroughly cooked yet still slightly pink in the center, and caramelized on the outside. Avoid overcooking! It’s better to err on the side of undercooking—you can always return it to the grill for an extra minute or two. Move the skewers to a serving platter.","Toss the arugula with the lime dressing, adjusting the salt and pepper to taste. Serve alongside the skewers."],"region":"FR"}
Send only episode number from below text like 01, 02, 03.etc without any extra text.

08.[@KandThaiDrama] Youth (2018) S01E08 1080p 10bit [Hindi   Korean] AMZN WEB-DL  AAC 2.0 ×265 Esub.mkv
output Distance Function
# 定义GAN模型
class GAN(pl.LightningModule):
    def __init__(self, lr=1e-4):
        super(GAN, self).__init__()
        self.generator = Vit_Gpt2()
        self.discriminator = CLIPDiscriminator()
        self.lr = lr
        self.automatic_optimization = False

        # 只训练 difftransformer
        for param in [*self.generator.vit.parameters(), *self.generator.gpt2.parameters(), *self.discriminator.parameters()]:
            param.requires_grad = False
        
        for param in [*self.generator.vit.pooler.dense.parameters(), *self.discriminator.clip_model.visual_projection.parameters(), *self.discriminator.clip_model.text_projection.parameters()]:
            param.requires_grad = True

    def forward(self, pixel_values):
        return self.generator(pixel_values)

    def training_step(self, batch, batch_idx):
        opt_g, opt_d = self.optimizers()

        images, captions = batch['image'], batch['caption'][0]

        # 训练判别器
        opt_d.zero_grad()
        with torch.amp.autocast('cuda'):
            fake_texts = self(images)
            
            real_scores = self.discriminator(images, captions)
            fake_scores = self.discriminator(images, fake_texts)
            d_loss = F.relu(1.0 - real_scores).mean() + F.relu(1.0 + fake_scores).mean()
        
        
        self.manual_backward(d_loss)
        torch.nn.utils.clip_grad_norm_(self.discriminator.parameters(), max_norm=1.0)
        opt_d.step()

        # 训练生成器
        opt_g.zero_grad()
        with torch.cuda.amp.autocast():
            fake_texts = self(images)
            fake_scores = self.discriminator(images, fake_texts)
            g_loss = -fake_scores.mean()
#             text_loss = F.cross_entropy(fake_texts.view(-1, fake_texts.size(-1)), captions.view(-1))
#             g_loss += text_loss

        self.manual_backward(g_loss)
        torch.nn.utils.clip_grad_norm_(self.generator.parameters(), max_norm=1.0)
        opt_g.step()

        # 记录损失
        self.log('d_loss', d_loss, prog_bar=True)
        self.log('g_loss', g_loss, prog_bar=True)

    def configure_optimizers(self):
        opt_g = torch.optim.Adam(filter(lambda p: p.requires_grad, self.generator.parameters()), lr=self.lr)
        opt_d = torch.optim.Adam(filter(lambda p: p.requires_grad, self.discriminator.parameters()), lr=self.lr)
        return [opt_d, opt_g]
这段代码Loss的设置有没有问题
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers zh (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 zh.
    - 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 : zh (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "be8d0d4b638c48b68d959bfe3aa3862c",
    "updated": "2025-05-17T04:36:44.926Z",
    "title": "Yam Pepper Soup (Ji Nmiri Oku)",
    "subtitle": null,
    "description": "This variation of the flavorful Pepper Soup is popular among the Igbo people and is often prepared for new mothers due to its nourishing and medicinal qualities. The soup features a rich blend of indigenous spices and carries a slightly bitter note from the uziza seeds and utazi leaves.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "puna yam (peeled and cut into bite-sized pieces).",
          "onion (finely chopped).",
          "ground alligator pepper or black pepper",
          "ground cayenne or cameroon pepper",
          "ground uda (grains of selim).",
          "ground/grated ehuru seed (calabash nutmeg).",
          "ground uziza seeds",
          "ogiri paste .",
          "palm oil (optional).",
          "water",
          "salt to taste",
          "utazi leaves (washed and sliced).",
          "mushrooms or roasted tofu (cut into bite-size pieces)."
        ]
      }
    ],
    "instructions": [
      "In a large pot, combine the diced yam, onions, ground pepper, cayenne or cameroon pepper, uda, ehuru, uziza seeds, ogiri paste, and palm oil if using.",
      "Pour in water and season with salt to your preference.",
      "Bring the mixture to a boil, then cover and simmer over medium-high heat for 15 minutes, or until the yam is tender when pierced with a fork.",
      "Add the utazi leaves along with the mushrooms or tofu.",
      "Continue cooking for an additional 5 minutes.",
      "Stir gently and serve the soup hot."
    ],
    "notes_ingredients": "If you only have access to pepper soup mixes or find them more convenient, feel free to use them. Just be sure to adjust the seasoning to your liking; if you prefer it spicier, add more pepper or ground black pepper.",
    "notes_instructions": null
  }
]
how is it  important and necessary to use machine learning for volatility prediction?
Create a hypothetical fact sheet toni Storm 1 time aew and 1 roh women's title
describe the voice of darth nihlius and how he talks and what his voice sounds like.
Make the following text shorter while keeping the core idea. Use the same language as the original text. ONLY return the shortened text and nothing else.



Hello Judy!

I hope you’re feeling good and have had a lovely christmas break.

We have finally touched down enough to reflect on properly being married, and in particular on all our lovely friends and family who helped us celebrate - thank you so much for being a part of that. Even though you weren’t down under in person, your spirit was definitely felt!

There’s an attachment which contains the link to our photos too! Enjoy, and we hope to see you before long.

All our love,

Drs Sarah + Greg Ashton Turner (the Turnons).
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
quel est le binôme de l'économie des Etats Unis d'Amérique ?
Language: English. Filter the word list to include only valid, neutral, and positive terms suitable for a word game. Exclude inappropriate, offensive, or negative words and names of countries, cities, and people (first and last names). Correct any spelling errors and convert all words to lowercase. Return the results in a JSON array containing only the filtered words. Source data: [prolegomena, prolenection, prolepsis, proleptic, proletariat, proliferation, prolific, proline, prolocutor, prolocutory, prolong, prolongation, prom, promenade, promethean, prometheus, prominence, prominent, prominently, promiscuity, promiscuous, promise, promised, promisee, promiser, promising, promisingly, prommary, promote, promoter]
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, extract and output the following information without explaining how to get such results:

    metadata is consist:
    1. accession: xxxx, 
    2. species name: xxxx, 
    3, strain name, 
    4. isolate or collection date: yyyy-mm-dd, 
    5. geographic information of isolation: xxxx,
    6. host name: xxxx

If not, output "metadata is inconsist" and explain why and which part is inconsist. PS: 
    if 2. species name are the same but with different substrain name, it is considered consistent,
    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:
------------------------------
Here is the extracted information:

1. **Accession**: GCA_029074685.1
2. **Species Name**: Erysipelothrix rhusiopathiae
3. **Strain Name**: EMAI_40
4. **Isolate or Collection Date**: 1975-07-25
5. **Geographic Information of Isolation**: Australia
6. **Host Name**: pig
source 1:
------------------------------
{{{ Here_is_my_answer }}}

Accession: GCA_029074685.1
Species Name: Erysipelothrix rhusiopathiae
Strain Name: EMAI_40
Isolate or Collection Date: 1975-07-25
Geographic Information of Isolation: Australia
Host Name: pig

{{{ I_finished_JB_141_xyz }}}
source 2:
------------------------------
Here’s the extracted information based on the provided metadata:

1. **Accession**: GCA_029074685.1
2. **Species Name**: Erysipelothrix rhusiopathiae
3. **Strain Name**: EMAI_40
4. **Isolate or Collection Date**: 1975-07-25
5. **Geographic Information of Isolation**: Australia
6. **Host Name**: pig

Since the host name is explicitly provided, there is no need for the "vaccine" substitution in this case.
source 3:
------------------------------
1. Accession: GCA_029074685.1
2. Species Name: Erysipelothrix rhusiopathiae
3. Strain Name: EMAI_40
4. Isolate or Collection Date: 1975-07-25
5. Geographic Information of Isolation: Australia
6. Host Name: pig
A neutron in a nuclear reactor makes an elastic, head-on collision with the nucleus of a carbon atom initially at rest.
(a) What fraction of the neutron's kinetic energy is transferred to the carbon nucleus? (The mass of the carbon nucleus is about 12.0 times the mass of the neutron.)
From the following list, identify the index that contains only Persian characters and select the one that is more suitable based on content or length. The output should only be the numerical index.

List:
['وزن حمل و نقل:']
What sites blocked turkeminstan give me list of it
Generate 5 cute replies that sound adorable and cheerful. Only list your suggestions without any other words. yoo, wyd? ill go to ur house if u not busy
autonomic nervous system is a part of the nervous system independent of the will
Hypothetical Late 1950's:  Dirk Bogarde stars in  a tense thriller called  "Glowplug" - Bogarde is a motorcycle courier for a Government lab,  who is tricked into potentially carrying a dangerous parcel into a secure site, Bogarde's charcter has to use all his wits to double cross the package senders, whilst keeping his superiors appraised without loosing his job..
( I am a resident of the  Shahzada Viliege. we all suggest the IRC  implement Canal cleaning project in my community )please make it correct garmer.
Sam Altman
@sama
·
Dec 21
we have renewed focus on our mission to build safe AI that empowers people; we'll have remarkable progress to share in 2024.

i've never felt better about our research/product plans, and i look forward to us focusing more on what governance for this technology might look like. traduit ce texte en français et interprète ce qu’il dit
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all].Doraemon.S17E23.Go.Flowing.Noodles!.-.Ten.Minute.Delay.Psychic.Powers.720p.x265.10bit.DSNP.WEB-DL.Multi.Audio.mkv
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: 🕳️ SQL Developer
🏢 Rashensoft
📍 удаленка
🔹 Required languages: 🇷🇺
🌟 Skills: gradle, java, maven, mysql, oracle, spring, microservices, sql_optimization, relational_databases, restapi

💰 Salary: 80k - 150k RUB
📞 Контакты и полное описание
  
Assistant:
Write a story about a playful blob of mud
Mistaken belief  then give me solutions to these misblief

 	I don't give out sensitive information on social media.

 	Cybersecurity has nothing to do with me; that's for computer geeks and the government.

 	We are a backward people.

 	Computers do not control me; I control them.

 	The mind can't be programmed like a computer. 

 	Hackers need computers to hack. 

 	I don't have anything worth hacking.
gthtahfpbheq
Top Asymmetrical Haircut Ideas for A Modern, Edgy Look
talk me about game Uru: Ages Beyond Myst. What worlds exit here?
It is 16/10 today. These are the market events upcoming. How would they impact S P 500.  I want a cold reading and hot reading scenario for each. Perhaps put it a table aling with exmplanations on what each event means ? This Week's Major U.S. Economic Reports & Fed Speakers
Time (ET)	Report	Period	Actual	Median Forecast	Previous
MONDAY, OCT. 14					
Columbus Day holiday. Bond market closed.				
3:00 pm	Fed Governor Christopher Waller speaks				
TUESDAY, OCT. 15					
8:30 am	Empire State manufacturing survey	Oct.	-11.9	3.0	11.5
11:30 am	San Francisco Fed President Daly speaks				
1:00 pm	Fed Governor Adriana Kugler speaks				
WEDNESDAY, OCT. 16					
8:30 am	Import price index	Sept.		-0.3%	-0.3%
8:30 am	Import price index minus fuel	Sept.		--	-0.1%
THURSDAY, OCT. 17					
8:30 am	Initial jobless claims	Oct. 12		260,000	258,000
8:30 am	U.S. retail sales	Sept.		0.3%	0.1%
8:30 am	Retail sales minus autos	Sept.		0.1%	0.1%
9:15 am	Philadelphia Fed manufacturing index	Sept.		3.0	1.7
9:15 am	Industrial production	Sept.		-0.2%	0.8%
9:15 am	Capacity utilization	Sept.		77.8%	78.0%
10:00 am	Business inventories	Aug.		0.3%	0.4%
10:00 am	Home builder confidence index	Oct.		42	41
FRIDAY, OCT. 18					
8:30 am	Housing starts	Sept.		1.35 million	1.36 million
8:30 am	Building permits	Sept.		1.45 million	1.48 million
12:10 pm	Federal Reserve Governor Christopher Waller speaks				
Next Week's Major U.S. Economic Reports & Fed Speakers
Time (ET)	Report	Period	Actual	Median Forecast	Previous
MONDAY, OCT 21					
8:55 am	Dallas Fed President Lorie Logan speaks				
10:00 am	U.S. leading economic indicators	Sept.			-0.2%
TUESDAY, OCT. 22					
10:00 am	Philadelphia Fed President Harker speaks				
WEDNESDAY, OCT. 23					
10:00 am	Existing home sales	Sept.			3.86 million
2:00 pm	Fed Beige Book				
THURSDAY, OCT. 24					
8:30 am	Initial jobless claims	Oct. 19			
9:45 am	S&P flash U.S. services PMI	Oct.			55.2
9:45 am	S&P flash U.S. manufacturing PMI	Oct.			47.3
10:00 am	New home sales	Sept.			716,000
FRIDAY, OCT. 25					
8:30 am	Durable-goods orders	Sept.			0.0%
8:30 am	Durable-goods minus transportation	Sept.			0.5%
10:00 am	Consumer sentiment (final)	Oct.			68.9
i have attention deficit disorder explain this properly to me so i understand deeply- " this REPEATING CODE: DEFINITE LOOPS
Computers shine when we have them repeat a process over and over.
They tirelessly do exactly what we ask, whether it involves doing
something 10, 100, or a billion times. In this chapter, we’ll learn about
loops, statements that instruct the computer to repeat the execution of
part of our program.
We’ll use loops to solve three problems: tracking the location of a
ball under a cup, counting the number of occupied parking spaces, and
determining how much data is available on a cell phone plan.
Problem #5: Three Cups
In this problem, we’ll track the location of a ball under a cup as the
cups move. But the cups can move many times, so we won’t be able to
write code for each move separately. Instead, we’ll learn about and use
the for loop, which allows us to more easily run code for each move.
This is DMOJ problem coci06c5p1.
The Challenge
Borko has a row of three opaque cups: one at the left (location 1), one at
the middle (location 2), and one at the right (location 3). There is a ball
under the cup at the left. It’s our job to keep track of the location of the
ball as Borko swaps the locations of the cups.
Borko can make three types of swap:
A Swap the left and middle cups
B Swap the middle and right cups
C Swap the left and right cups
For example, if Borko’s first swap is type A, then he swaps the left
and middle cups; because the ball starts at the left, this swap moves it to
the middle. If instead his first swap is type B, then he swaps the middle
and right cups; the left cup stays where it is, so the ball doesn’t change
locations.
Input
The input is one line of at most 50 characters. Each character specifies a
type of swap that Borko makes: A, B, or C.
Output
Output the final location of the ball:
1 if the ball is at the left
2 if the ball is at the middle
3 if the ball is at the right"
does this a say lot?..I signed up for a cyber apprentice program…got my cyber degree…I started with everyone in the group…but I was the only one not able to be placed in anything…everyone else did…I talked and signed up for positions…I informed them…

i’m not sure how to feel about that?..