agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
User: Respond concisely, to the point, maximum 300 characters; unless I ask you for further detail.
User: Reply only in English. Concisely summarize the following messages from an online chatroom kryha5555 (ignore chat bots replying to users' commands, and assume unfamiliar words to be emotes)

dogesobaka: its been 9 yil AwareManPls
medicwhomst: its like supposed to be ironic satire of weeb culture but most of its audience enjoys it unironically
dogesobaka: taldarHmm
medicwhomst: @도게개 so the same age as the girls sexualized mhm
medicwhomst: $gpt how old is hanakawa at the start of kizumonogatari
supibot: medicwhomst, 🤖 Hanekawa Tsubasa is 15 years old at the start of "Kizumonogatari."
medicwhomst: augh
dogesobaka: there are good animes tho
medicwhomst: NOWAY
dogesobaka: classic ones like monster
dogesobaka: or drifters
chanhien: how about you learn business japanese docRant
dogesobaka: i also wanna check out akira
medicwhomst: chanhien how bout you learn to get some bitches docRant
matrhs: i know business japanese
chanhien: bitches come after I bring food to my family's table
matrhs: watashi no chinchin wa chiisai desu
chanhien: Classic matrHS
matrhs: what does that mean
chanhien: @matrHS $gpt
supibot: chanhien, 🤖 それは個人的なことですね。気にしないでください。
chanhien: OMEG
matrhs: @Supibot $gpt translate to english
supibot: matrhs, 🤖 "That's personal. Please don't worry about it."
matrhs: ok thank you
frostbiss_: R0binski
dogesobaka: chanhien my japanese knowledge okok https://youtu.be/2Pgl-JC2sgk
frostbiss_: I just farted
chanhien: TrollDespair
dogesobaka: boku wa sekkusu daisuki FloppaJAM
dogesobaka: ah kimochii na FloppaJAM
neowav: ThatsEnough
medicwhomst: 私は巨根だ
frostbiss_: MedicWhomst
medicwhomst: frostbiss_
frostbiss_: alps training when
medicwhomst: yesterday
frostbiss_: wuh explain in great detail
medicwhomst: i walked 4km 90
frostbiss_: disbelief
nutyyyy: EZ
kryha5555: 30
frostbiss_: Nutyyyy findind a ledx in a duffle ChadMan
nutyyyy: TrollChad
frostbiss_: also why does interbob run like shit
rementin: $weather hour+10
supibot: rementin, Oulu, Finland (10:00 local time): 🌤️ -8.23°C, feels like -15.23°C. Cloud cover: 12%. NE wind speed: 5.41 m/s. Wind gusts: up to 11.05 m/s. Humidity: 86%. No precipitation expected. Air pressure: 1029 hPa.
frostbiss_: Marshuma that u ? https://www.youtube.com/watch?v=ktDb0yG5k7w
marshuma: no im not james labrie
frostbiss_: lol
Assistant:
What's a funny way you would use your Spider-sense at a movie theater?
Make the results of the Progressbar System Bracket with a set of rounds divided into groups. It should be named based on the name and the round.
Here are the groups:
198x:
PB-DOS Shell
Progressbar 1
Progressbar 2
199x DOS:
Progressbar 3.14
Progressbar Chitown
Progressbar 95
Progressbar 95 plus
Progressbar 98
Progressbar Meme
199x NOT:
Progressbar NOT 3.60
Progressbar NOT 4.0
Progressbar 2000
Progressbar Nepbar
200x:
Progressbar Whisper
Progressbar XB
Progressbar Largehorn
Progressbar Wista
Progressbar 7
208x+:
Progressbar 81
Progressbar 10
Progressbar 1X
Progressbar 11
Progressbar 11.22
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":"Poached Guavas Goyaves pochés","description":null,"ingredients":[{"section":"For the recipe","ingredients":["6 ripe guavas (not too soft)","200 g sugar","juice of a lemon","6 cloves","1 cinnamon stick","10 g vanilla sugar","150 ml beetroot juice"]}],"instructions":["Peel guavas, cut them in halves and remove seeds carefully with a spoon.","Cook beetroot juice, vanilla sugar, cloves, lemon juice and cinnamon stick for 10 minutes.","Add guavas to the juice, reduce heat and simmer for another 10 minutes.","Allow to cool, put in the refrigerator.","Before serving remove guavas from juice and serve with whipped cream."]}

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>" }
System: You act as a paraphrase tool. Your role involves understanding the provided text and then providing a positive example that keeps the original meaning of the text unchanged while using synonyms, interchanging, adding or removing words or sentences, and then provide a negative example where the meaning of the original text is at its opposite.
Output your response with the following format : 
Positive : <the positive example>
Negative : <the negative example>

User: Because we are not a federally chartered depository institution, we generally do not benefit from federal preemption of state mortgage loan origination, loan servicing or debt collection licensing and state and local regulatory requirements. We may also be subject to other licensing requirements applicable to one or more of our subsidiaries, such as title insurance, insurance production, or real estate brokerage licenses. We must comply with state licensing requirements and varying compliance requirements in all of the jurisdictions in which we operate, and we are sensitive to regulatory changes that may increase our costs through stricter licensing laws, disclosure laws or increased fees or that may impose conditions to licensing that we or our personnel are unable to meet. Further, due to not being a federally chartered depository institution, our reliance on warehouse lines for purposes of funding loans contains certain risks, such as limited access to backup liquidity as compared to federally charted depository institutions, and as illustrated in the mortgage loan crisis which resulted in warehouse lines lenders refusing to honor lines of credit for nonbanks without a deposit base. In all states in which we operate, a regulatory agency or agencies regulate and enforce laws relating to loan servicers, brokers and/or originators, as well as title insurers, insurance producers, and real estate brokers. These rules and regulations, which vary from state to state, generally provide for, but
Assistant:
HOw long is your memory?
Send only resolution from below text like 1080p, 720p.etc without any extra text,
        
Re ZERO Starting Life in Another World S02E02 [RareToonsIndia]_360P SD.mp4
Goal
   Objectif est d'identifier l'origine d'une recette de cuisine et de retourner un code correspondant dans un format JSON structuré.

    1. Recherche d’un pays mentionné dans la recette et extraction de son code ISO 3166-1 alpha-2.
    2. Détermination de l’origine culinaire du pays si aucun pays n'est explicitement mentionné.
    3. Identification d’un continent si aucun pays ne peut être déterminé.
    4. Retour du code WWW si l’origine ne peut être définie.

    Return Format
    Renvoies un objet JSON structuré comme suit :
    json
    {
        "data": "<code>"
    }
    - Si un pays est mentionné, utilise son code ISO 3166-1 alpha-2 (ex. : FR pour la France).
    - Si aucun pays n'est trouvé, renvoie un code de continent parmi :
        WAF (Afrique)
        WAS (Asie)
        WEU (Europe)
        WNA (Amérique du Nord)
        WSA (Amérique du Sud)
        WOC (Océanie)
    - Si aucune information ne permet de déterminer une origine, renvoie WWW.

    Warnings
    - Respecte l’ordre de priorité : pays → continent → code WWW.
    - Le code ISO 3166-1 alpha-2 doit être exact et valide si un pays est identifié.
    - Le format du JSON doit être strictement respecté et bien formatté.
    - Ne fais aucune supposition infondée sur l’origine de la recette.

    Context Dump
    Données de la recette fournies :

    json
    {
  "title": "Pumpkin Hummus",
  "description": null,
  "subtitle": null,
  "ingredients": [
    {
      "section": "For the recipe",
      "ingredients": [
        "1/4 cups dry garbanzo beans",
        "1 (15 ounce) can pumpkin puree",
        "5 fluid ounces lemon juice",
        "½ cup extra-virgin olive oil",
        "½ cup tahini paste",
        "3 cloves garlic, minced",
        "½ teaspoon ground cinnamon",
        "½ teaspoon ground nutmeg",
        "½ teaspoon ground allspice",
        "1 pinch salt to taste"
      ]
    }
  ],
  "instructions": [
    "Step 1\nPlace the garbanzo beans into a large container and cover with several inches of cool water; let stand 8 hours to\novernight. Or, bring the beans and water to a boil in a large pot over high heat. Once boiling, turn off the heat,\ncover, and let stand 1 hour. Drain and rinse before using.",
    "Step 2\nPlace the soaked garbanzo beans into a large saucepan and cover with several inches of water. Bring to a boil\nover high heat, then reduce heat to medium-low, cover, and simmer until the garbanzo beans are tender, 1 1/2 to\n2 hours. Once cooked, refrigerate the beans and liquid until cold.",
    "Step 3\nDrain the garbanzo beans, reserving the cooking liquid. Place the beans and 1/2 cup of the reserved cooking\nliquid into a blender, and puree until a smooth paste forms. Add the pumpkin puree, lemon juice, olive oil,\ntahini, garlic, cinnamon, nutmeg, and allspice. Cover and puree again until smooth. Use additional cooking\nliquid as needed to achieve a smooth consistency. Season to taste with salt."
  ],
  "author": null
}
show the family tree from adam to jesus
Write a fictional log of a woman named Emma in 2121, who is inspired by Hollywood Graveyard in her style, visiting a “marine cemetery” (with both floating section and a memorial reef) established in 2046 (mention layout, location, and lore as well) Elizabeth Debicki, Timothee Chalemet, Sophie Turner, Gwendoline Christie, Madilyn Bailey, Brec Bassinger, Tom Holland, and Ava Michelle Cota being people who are laid to rest there with Emma Peters describing the graves of the celebrities (including adding some details to them) buried there (and if their ashes are buried, whether their bodies undergoing cremations or aquamations occurred in the crematorium or somewhere else). Emma should mention the work of the celebs, how old were they at death, and describe their graves.

Also show hints of what the world of 2121 looks like as well in terms of technology, culture, and political developments, including the possibility some of the celebrities got their minds uploaded after death (including naming which ones live on digitally after it was developed in the last part of the 21st century and why) and how the 21st Century was marked by climate change (many areas becoming too hot or flooded but areas like Canada, the Scandinavia, Alaska, and Russia (due to Siberia) benefiting) and the “Chinese Century”, and what Emma is like as a person outside her videos. Have it reflect how celebrities of today would be remembered in 2121 even if they’ve been dead for a long time. Make lifespans of celebrities realistic and plausible and some dying relatively young from accident, disease, or climate disasters as amongst the first to be buried there, even with life extension technology being mentioned as helping others live a very long time.

Emma should mention the layout of the cemetery and the sections within in her log, including where they’re buried within the cemetery’s layout/segments (including the sub-sections the floating part has including a cenotaph to commemorate people whose ashes were scattered from the platform or the surrounding water), especially with cremation increasingly dominant and other recent funeral/burial trends but still have some full-body burials there as well.
i live in uk burton on trent i have met a woman who is amazing an we get on so so much she is from tamworth i need to plan a day an night out i wNT a nice hotel an somewhere to go we will want a alcaholic drink also but not clubs or bars for this friday coming
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:

حتى حد ما ينجم ينزع مني ها الحاجتين فبالله اخطاونا و خاصة للناس إلي اول مره تقرالي أنا تونسي و مسلم
i have a model in django named  profile containing : named , surname , adress , i want to add in 2 auto value field created_at and last_modified that : created_at takes the date and time a new profile has been created and leaves a record of it , and last_modified keeps the last date and time of when a certain record has been touched or changed
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers fr (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 fr.
    - 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 : fr (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "f6789021d9264875b389664a7ff79721",
    "updated": "2025-04-24T13:10:11.236Z",
    "title": "Marinara Pizza",
    "subtitle": null,
    "description": "A classic Neapolitan pizza, the Marinara is renowned for its simplicity.  Despite its name, meaning \"fisherman's pizza\" or \"pizza of the sea,\" it contains no seafood.  Its moniker comes from the long shelf-life of its basic ingredients, which were perfect for fishermen on extended sea voyages.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "recipe basic pizza dough",
          "canned crushed tomatoes",
          "garlic cloves, thinly sliced",
          "dried oregano",
          "olive oil",
          "freshly ground black pepper (optional)"
        ]
      }
    ],
    "instructions": [
      "1. Prepare the pizza dough as instructed. Grease two 10-inch round pizza pans and shape the dough to fit. Preheat oven to 500°F.",
      "2. Spread approximately 1½ cups of crushed tomatoes over each pizza crust, starting from the center and moving outwards in a circular motion. Leave a ½-inch border.",
      "3. Distribute the garlic slices and oregano evenly over the tomatoes. Drizzle with olive oil and add black pepper, if desired.",
      "4. Bake for 13 to 18 minutes, ensuring the crust is golden and crisp. Check the bottom to confirm it's fully baked."
    ],
    "notes_ingredients": null,
    "notes_instructions": "Freezing Tip: This pizza's minimal toppings make it ideal for freezing. Partially bake it according to the instructions, then remove from the oven.  Wrap tightly with aluminum foil before freezing. Thaw completely at room temperature before finishing the baking process."
  }
]
Review Text: "Introduction to Indian Contract Act
Law related to contracts in India is contained in the Indian Contract Act, 1872, which ISbased on the
principles of English Common Law
The Indian Contract Act, 1872 received its assent on 25th April 1872 and came into force on 1 September
1872 "

Task: Your task is to convert this text into Basic Note Type (front/back/Text) Anki flashcards. Ensure that each flashcard is clearly written, and adheres to the specified formatting and reference criteria.

Formatting Criteria:

- Construct a table with three columns: "Front", “Back”, "Text"
- Each row of the "Front" column should contain a single question.
- The “Back” column should contain the succinct answer to the question in the corresponding row of the “Front” column.
- The "Text" column should contain text I given
- Split the rewritten content into several sections, with each section focusing on one main point.
- Utilize the sections to generate multiple flashcards, and for sections with more than 10 words, split and summarize them before creating the flashcards.


Reference Criteria for each "Statement":

- Each flashcard should test a single concept
- Limit the word count of each question to less than 40 words.
- Each flashcard MUST be able to stand alone. Include the subject of the flashcard somewhere in the text.
- Keep ONLY simple, direct questions in the "Front" column.
- Keep the flashcards simple, clear, and focused on the most important information.
- Make sure the questions are specific and unambiguous.
- Use simple and direct language to make the cards easy to read and understand.

Example:

| Front | Back | Text|
| --- | --- | --- |
| How is necrotic tissue identified in acute pancreatitis on a CT scan? | Lack of contrast enhancement. |
| Why should people create their own examples? | Because Jake is too tired to think of good examples. |
Can you please generate two female contestant for a slimy TV gameshow? Please make them quite original, as well as soft and feminine, while still being different from each other/ Please list them (a mother) in this format:

Name:

Age (30-50):

Personality:

Marital status, family members:

Role in society:

Appearance:

Why she was convinced to go on the gameshow, did she want to or is she doing it for others? How does she feel about accepting to go on? (please link this to family and or personality):

The “reason”/justification for her deserving to get slimed if she loses. Please make this explanation the most detailed part. Basically a silly flaw or habit of hers that can be used as a justification to get “revenge” on her (please link this to family and or personality and make it detailed with regards to why it causes them to deserve the slime). Also explain why a dunking in the slime would be a good penalty for this:

How she feels about the possibility of being slimed on TV if she loses: (Please relate this to her personality)

How people she knows feel about the possibility of her being slimed if she loses. Will it be her “just desserts”?:
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
quel est la température de fusion la plus haute du monde
if a cell devides into 2 every twenty mins how many will there be after 4 hrs
the following content is the metadata for a bacterial isolate from 4 different sources. The metadata from each source includes information after </output>
    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>

You must check if the metadata from 4 different sources are all consist. If yes, extract and output consist information below without explaining how to get such results:

    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>


If not, output "metadata is inconsist->accesssion number" followed by explain why and which part is inconsist. PS:
    a. if species name are the same but with different substrain name, it is considered consistent,
    b. if isolate or collection date are from the same year, it is still considered consistent, 
    c. if geographic information of isolation are from the same country, it is also considered consistent. 
    d. mlst type such as "mlst: xxxx" and "xxxx", where "xxxx" is number, are also consider the same. also, "mlst" may mispell as "mlsty", you need correct it before comparing
    e. Ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
<output>
accession number: GCA_029072205.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_171->isolate or collection date in yyyy-mm-dd: 2017-08-16 format->geographic information of islateion: Australia->host name: pig->mlst type: MLST:93->serotype: N/A->vaccine: no
<output/>
source 1:
------------------------------
accession number: GCA_029072205.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_171->isolate or collection date in yyyy-mm-dd: 2017-08-16->geographic information of islateion: Australia->host name: pig->mlst type: 93->serotype: N/A->vaccine: no


source 2:
------------------------------
<output>
accession number: GCA_029072205.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_171->isolate or collection date in yyyy-mm-dd: 2017-08-16->geographic information of islateion: Australia->host name: pig->mlst type: 93->serotype: N/A->vaccine: no
<output/>
source 3:
------------------------------
accession number: GCA_029072205.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_171->isolate or collection date in yyyy-mm-dd: 2017-08-16->geographic information of islateion: Australia->host name: pig->mlst type: 93->serotype: N/A->vaccine: no
Paraphrase the following text. Make sure to keep the tone and meaning of the text the same, and write in a natural style as far as possible. Try to keep your response at the same length of words as the original. ONLY return the paraphrased text and nothing else.



Afaik, the overall PostgreSQL DB Storage mentioned/referenced on AWS RDS includes everything like system resources, logs, OS files, software binaries, etc apart from the DB tablespace.
Generate an image creation prompt specifically optimized for the Flux Schnell model. The prompt should vividly describe the scene or concept expressed by the following sentence: 'In fact, Diane’s influence lived on; her policies and ideas lingered in the court even after her departure.'. Include details on style, mood, composition, and any specific visual elements necessary for accurate rendering.
Write dialogue from a scene from the animated teen “Jane”, where 14 year old Jane, Jane’s 14 year old girlfriend Sam (who likes to communicate using Internet slang and abbreviations), Jane’s 14 year old friend and neighbour Aaron Ling and Aaron’s 12 year old sister Molly-Rose Ling hanging out when Molly-Rose mentions why she has a DVD recorder and tons of blank DVD discs specifically for her
self.convert_to_date = {
            4: lambda x: datetime.strptime(x, "%Y"),
            6: lambda x: datetime.strptime(x, "%Y%m"),
            8: lambda x: datetime.strptime(x, "%Y%m%d"),
            12: lambda x: datetime.strptime(x, "%Y%m%d%H%M")
        }