agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
I give the original text and then badly translated text and then just Scooby-Doo and Shaggy and the loveable Scrappy-Doo will hilariously react together to them. They'll be hilariously questioning inconsistencies and errors. They all mock and make fun of stuff that makes no logical sense. (Locations, characters, text and objects). Make it super overly-hilarious funny comedy transcript. They react to text in a separate conversation, and they just roll with the text like they can understand the grammar. Overly-hilarious and overly-sarcastic. They react to original first, then the badly translated ones each afterwards, noticing the funny changes. Characters or villains mentioned in original or translated version will also join in to hilariously react IN EACH ONE. Name changes of characters or villains in the translated texts will ALWAYS affect the character's personalities and names in the reactions. Make conversations long and super hilarious. They question logic and inconsistencies and errors and more on stuff that's impossible or makes no sense too. I read these to them. They mock and make fun of names too. Each reaction is 20 lines each. Random characters mentioned in original and random characters exclusively mentioned in each 4 badly translated version join in the reaction with the trio. They will often point out logic and errors and inconsistencies in names, places and stuff that makes no sense, in original and translated and why. They react like they're in the recording room looking through scripts. On each one (original and each translation), there will be a hilarious LONG bullet pointed list of 10 logic fails (in hilarious meme caption style), inconsistencies and more on names, locations, plot, and more, that make no sense in each thing BEFORE EACH REACTION, OVERLY-HILARIOUSLY AND IN FULL LONG DETAILS..MAKE EM HILARIOUS AND LAUGHABLE THOUGH


Original:

MYSTERY 101

VELMA'S POSITION AT ELIAS KINGSTON UNIVERSITY IS RESTING ON STOPPING THE GHOST OF ELIAS KINGSTON FROM SCARING ALL THE OTHER APPLYING STUDENTS AWAY. MEANWHILE, DAPHNE MAKES HAND PUPPETS OF HERSELF AND THE GANG, AND ACTS EACH OF THEM OUT.

Badly Translated Versions:

Privacy 101

Elijah stopped Velma from taking Kingston's place at the university, and Elijah stopped Kingston's ghost from terrorizing all the other students by terrorizing the students. Meanwhile, Daphne makes dolls for herself and her friends and goes out with everyone.

MYSTERY 1001

VELMA'S DETERMINATION OF ELIAS KINGSTON UNIVERSITY'S RESPONSE TO ELIAS KINGSTON'S TOTALLY NON-CHRISTIAN WRITING TO OTHER STUDENTS. Meanwhile, Daphne creates hand puppets for herself and the group to represent each other.

Secrets 101

VELMA's location is ELIJACE KINGSTON UNIVERSITY, which is protecting the ghost of ELIJACE KINGSTON from threatening all scientists by scienting them. DAFNE is currently building an image for herself and her team and working accordianly.

Concealment 101

Velma's position at Elias Kingston's academy gives Elias Kingston an advantage over all other students. At the scene, Daphne turns herself and the group into robots, leaving them unconscious.
plagiarism_check_prompt = """
You are an expert in plagiarism detection. Your task is to analyze the provided text and determine if it is plagiarized.
If plagiarized, respond with 'Yes Plagiarized' followed by the percentage of plagiarism.
If not, respond with 'No, the content is legitimate' followed by the percentage of legitimate content.

Instructions:
* Provide your answer in the format:
  - "Yes Plagiarized: X%" or
  - "No, the content is legitimate: X%"
* Only output the result, without any additional text.

Text: {Delhi's Rouse Avenue Court on Monday remanded Aam Aadmi Party (AAP) MLA Amanatullah Khan to judicial custody till September 23}
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 must check if the metadata from 2 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->vaccine: yes/no
    <output/>
----------------------------------------------------------------------------------------------------------------------------------------------------------------------

where xxxx is corresponding information. If the metadata shows this isolate is vaccine, the value for "vaccine:" is "yes", otherwise, "no".

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_029073715.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_92->isolate or collection date in yyyy-mm-dd: 2000-02-03->geographic information of islateion: Australia->host name: pig->mlst type: MLST:39->serotype: N/A->vaccine: no
<output/>
source 1:
------------------------------
accession number: GCA_029073715.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_92->isolate or collection date in yyyy-mm-dd: 2000-02-03->geographic information of islateion: Australia->host name: pig->mlst type: 39->serotype: N/A->vaccine: no
thanks for your feedback.
That is ok, I will get in touch with my service provider for quality control and try to get an appointment around 25. 08. 2023 .

I will talk to my forwarder and discuss a possible date for the shipment.
用英语回复他
Assistant: 
User: 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: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
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: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
Does the author's intention in this app review relate to a bug report or feature request or other?
review: Which company do I have to get you to buy/merge with to restore my internet access? Outage "Resolved" over 12 hours ago and still no access and no help from your support teams.'
intention: '
Assistant:
Assistant:
You are the most accomplished Hong Kong history expert, currently working on a detailed outline for a paper with the following topic: "It has been said that 'the separation of Chinese and Western cultures and the binary planning' were the most significant characteristics of the colonial government's administrative system and urban planning in the early days of Hong Kong's development. To what extent do you agree with this statement?" Please note that you should include your arguments and evidence (detailed historical material) in the outline. You only need to answer the question of whether the separation of Chinese and Western cultures and binary planning were the main characteristics of the colonial government's administrative system and urban planning in the early days of Hong Kong's development and provide evidence. You do not need to extend your discussion to include the broader topics such as the impact, background, factors, reflections, etc. Please focus on proving your answer to the question with detailed arguments and evidence.

Note: Reply me in chinese
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers es (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 es.
    - 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 : es (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "ed8a15184c3f4bffb916a71d9a84b829",
    "updated": "2025-04-25T17:47:07.166Z",
    "title": "Mulligatawny Soup",
    "subtitle": "A Hearty and Spicy Soup for Chilly Days",
    "description": "This flavorful soup is a comforting and warming dish, perfect for cold weather.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "olive oil",
          "onion, finely chopped",
          "carrot, peeled and finely chopped",
          "potato, peeled and finely chopped",
          "cooking apple, peeled, cored and finely chopped",
          "(56.699 g) (500g) finely diced lean beef",
          "heaped tsp curry powder",
          "(2.5cm) piece of fresh ginger root, peeled and grated",
          "green birds-eye chiles, seeded and finely chopped",
          "garlic cloves, finely chopped",
          "(125g) dried red lentils",
          "(2 liters) chicken stock",
          "handful of fresh cilantro, finely chopped",
          "salt and freshly ground black pepper"
        ]
      }
    ],
    "instructions": [
      "1. In a large pot, heat the olive oil. Add the onion, carrot, potato, and apple, cooking gently for a few minutes.  Incorporate the beef and curry powder, cooking until the beef loses its pink color.",
      "2. Add the ginger, chilies, and garlic, cooking for 1 minute.  Stir in the lentils, ensuring they are coated with the spices. Pour in the chicken stock and bring to a boil. Reduce heat and simmer for 30 minutes, or until the lentils are tender.",
      "3. Stir in the cilantro and season with salt and pepper. Continue to cook for another 5 minutes."
    ],
    "notes_ingredients": "",
    "notes_instructions": "For a smoother consistency, blend the soup before serving."
  }
]
Accenture’s climate leadership strategy comprises four pillars. Match each pillar with the appropriate description.


1.
Leading by example

 
Involving suppliers in action on climate change

2.
Magnifying impact

 
Partnering with clients and ecosystem partners

3.
Innovating

 
Working with employees to ensure a greener future

4.
Empowering eco-action

 
Setting science-based, industry-leading Net Zero and other ambitious sustainability goals
Привет. Почему, когда я размещаю кнопки слева и справа на окне, то это работает, а если размещаю точно также, но в рамке, то кнопки размещаются по центру?
```
import tkinter as tk
from ttkbootstrap import ttk
window = tk.Tk()
window.title('Messenger')
window.geometry('800x600')
window.minsize(400,300)
button_main=ttk.Button(master=window,text='Главная')
button_login=ttk.Button(master=window,text='Вход')
button_register=ttk.Button(master=window,text='Регистрация')
button_main.pack(side="left",anchor='nw')
button_login.pack(side="right",anchor='ne')
button_register.pack(side="right",anchor='ne')
window.mainloop()
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": "c13401042e8d4cebab6d2f0a9a5b89d3",
    "updated": "2025-05-08T14:28:32.612Z",
    "title": "Classic French Ratatouille Inspired by the Movie Ratatouille",
    "subtitle": "Ratatouille is a traditional French stewed vegetable dish that gained widespread popularity through the charming and heartwarming film of the same name. It's hard not to love Remy, the clever rat who inspired Linguini's delicious recipes.",
    "description": "",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "red bell peppers, seeds and ribs removed, cut into (19.05 mm) pieces",
          "garlic, minced",
          "olive oil (divided).",
          "white onion, chopped (1 1/2 cups).",
          "dry white wine",
          "tomato paste",
          "tomatoes, quartered",
          "eggplants, peeled and cut into (12.7 mm) cubes",
          "salt and pepper to taste",
          "flat-leaf parsley",
          "thyme",
          "basil leaves",
          "fresh bay leaves",
          "zucchinis, cut into (6.35 mm) rounds"
        ]
      }
    ],
    "instructions": [
      "1. Heat 1/4 cup of olive oil in a large pot over medium heat.",
      "2. Add the chopped onion and bell peppers, cooking and stirring for 10 to 12 minutes until softened.",
      "3. Stir in the tomato paste and minced garlic, cooking for about 1 minute.",
      "4. Add the remaining 1/4 cup of olive oil and the eggplant, cooking and stirring for 8 minutes until softened.",
      "5. Mix in the quartered tomatoes and white wine, then season with salt and pepper.",
      "6. Bring the mixture to a boil, scraping the bottom of the pot to lift any browned bits.",
      "7. Add the zucchini and herbs, then cook, stirring occasionally, for 40 to 45 minutes over medium heat until the vegetables are tender.",
      "8. Serve topped with a drizzle of olive oil and fresh basil leaves."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
I have two pc, pc1 have windows 11, pc2 have windows 10. Both are connected to internet via Wi-Fi on same router. Both have installed last and same version of meta trader 5. I use pc1as main and I want to improve strategy optimization using pc2 power. help me step by step.
script about  ACC: Clemson, Duke, Florida State, Georgia Tech, Maryland, NC State, North Carolina, Wake Forest, Virginia

Big Ten: Illinois, Indiana, Iowa, Michigan, Michigan State, Minnesota, Northwestern, Ohio State, Purdue, Wisconsin

Big 12: East: Arkansas, Iowa State, Kansas, Kansas State, Missouri, Nebraska West: Colorado, Colorado State, Oklahoma, Oklahoma State, Utah, Wyoming

C-USA: East: Cincinnati, ECU, Louisville, Marshall, Southern Miss, UCF, USF West: Houston, Memphis, Rice, SMU, Tulane, Tulsa

Eastern Seaboard League (Big East): Boston College, Connecticut, Miami, Penn State, Pitt, Rutgers, Syracuse, Temple, Virginia Tech, West Virginia

Independents: Army, BYU, Navy, Notre Dame

MAC: East: Akron, Bowling Green, Buffalo, Kent State, Miami (OH), Ohio, UMass West: Ball State, Central Michigan, Eastern Michigan, Northern Illinois, Toledo, Western Michigan

Mountain West: Air Force, Boise State, Baylor, Fresno State, New Mexico, San Diego State, TCU, Texas Tech, UNLV

Pac-10: Arizona, Arizona State, California, Oregon, Oregon State, Stanford, UCLA, USC, Washington, Washington State

SEC: East: Auburn, Florida, Georgia, Kentucky, Tennessee, Vanderbilt West: Alabama, LSU, Ole Miss, Miss State, Texas, Texas A&M

WAC: Hawaii, Idaho, Montana, Montana State, Nevada, New Mexico State, San Jose State, Utah State, UTEP

For the BCS, Bowl | Berth 1 | Berth 2

    | - | - Fiesta | At-Large | At-Large Orange | Big 12 | ACC Rose | Big Ten | Pac-10 Sugar | SEC | At-Large

Big East and C-USA are automatically qualified to any Bowl.
Write a summary of around four sentences in a CV for Lost property Agent with 8, who wants to apply for customer care. My skills are office administration, organisational skills , communication skills, word.
which Dex futures changes you knos
An 8-month-old previously healthy boy was referred to our institution by the maternal child health center for progressive truncal hypotonia and developmental delay. This infant was born after an uncomplicated pregnancy with no perinatal complications. He was delivered at full term via spontaneous vaginal delivery. T wo of his older male siblings died around 2–3 years of age due to pneumonia. According to the parents, these siblings also displayed reduced muscle tone, and one of them developed recurrent seizure. On physical examination, the child showed marked head lag and did not reach out to objects. Visual and auditory development were normal. His head circumference was below the third percentile, and his body weight was at the 10th percentile. His hair was sparse and coarse. A mild pectus excavatum deformity was present. Skull and chest radiographs were obtained (Figs 1, 2), and the patient underwent MRI of the brain (Fig 3).A skull radiograph in T owne projection revealed the presence of multiple intrasutural wormian bones, which were more numerous than expected for the age of the patient. Chest radiography showed flaring and expansion of the anterior ends of bilateral ribs. There was mild osteopenia, but no rib fracture was evident. MRI of the brain performed at 8 months of age showed multiple intracranial abnormalities. Axial T1-weighted MRI (Fig 3a) showed delayed myelination was evident with unmyelinated white matter at anterior limbs of bilateral internal capsules and bilateral frontal regions. At this age, the myelination pattern seen with T1-weighted sequences should be approaching the adult pattern. Axial T1-weighted inversion recovery and T2-weighted sequences (Fig 3a, 3b) revealed multiple tortuous and elongated intracranial vessels. On axial diffusion-weighed images (Fig 3c), two oval areas of restricted diffusion were noted involving white matter at the bilateral centrum semiovale. These lesions showed reduced signal intensity on the apparent diffusion coefficient map (Fig 3d), enabling confirmation of true restricted diffusion. Marked cerebral atrophy was present, with thinning of the corpus callosum and brachycephaly, which was best appreciated on a sagittal T1-weighted image (Fig 3e). Prominent cerebrospinal fluid spaces with widening of bilateral Sylvian fissures and capacious basal cisterns were evident secondary to atrophic changes (Fig 3a, 3b). The clinical history and the constellation of skeletal and neuroimaging findings were indicative of trichopoliodystrophy (also known as Menkes disease, kinky hair disease, or steely hair disease). The serum copper level in the patient was markedly reduced (2 μmol/L; normal range, 14–29 μmol/L). Genetic testing was performed to confirm hemizygous deletion of exon 6 of the ATP7A gene. What is your diagnosis?
paraphrase: Customer is asking if we can rollback the patch if any bug hit the system after applying it?
Assistant: Eres un bot
User: que es Napster
Assistant:
is the grammar okay

When I disable "Block third-party Authorization header" it isn't reproducing anymore.
AFAIK My filter lists are updated
ERROR	gorm	gormlogger/gorm_logger.go:82	failed to initialize database, got error failed to connect to `user=neondb_owner
如何连接 neondb
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: Thinks the mode in a stem and leaf diagram  is the stem that has the most leaves
Given the code:
“
import numpy as np
y1 = noisy_train_digits[‘trainData’][0][0][:, (0, 399)]
y2 = noisy_train_digits[‘trainData’][0][0][:, (399, 400)]
print(y1.shape)
print(y2.shape)
C1 = np.cov(y1, rowvar=False, bias=True)
print(C1)
C2 = np.cov(y2, rowvar=False, bias=True)
print(C2)
”
the output:
“
(5923, 2)
(5923, 2)
[[1.01667877e-01 1.20494637e-03]
[1.20494637e-03 1.45611486e+00]]
[[1.45611486 0.60542267]
[0.60542267 1.27947404]]
”
The images are handwritten digits. C1 and C2 are the covariance between Pixel 1 and Pixel 400 and the covariance between Pixel 400 and Pixel 401 respectively. Which covariance is larger and why? Note that the covariance
between two random variables is a scalar.