agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: Вакансии для мидлов-бэкендеров на Хабр Карьере.

PHP-разработчик в ООО М+1. Новосибирск. От 120 000 ₽.

Разработчик ПО (на Python 3.10+) в NPM. Можно удаленно. От 140 000 ₽.

C# разработчик в САТЕЛ. Можно удаленно. 120 000 — 200 000 ₽.

Бэкенд-разработчик в Wahelp. Можно удаленно. От 200 000 ₽.

PHP-разработчик (Symfony) в Andagar. Можно удаленно. Москва. От 180 000 ₽.

Больше вакансий

#middle #backend_development
Assistant:
penalties today

[System: Penalty check tool was used and found 0 penalties totaling $0 for the period 2025-04-07 to 2025-04-13.]

[IMPORTANT: I've used the Penalty Check tool for you. Here's what I found: {
  "user_id": "user123",
  "period": "2025-04-07 to 2025-04-13",
  "penalties": [],
  "total_amount": 0,
  "count": 0
}]
Filter words to keep only valid, neutral, or positive ones, strictly safe. Exclude country, city and people names. Return results in JSON array format without additional information. Source data: [arcadic, arcanum, arced, arcella, arcellidae, arceo, arceus, archaeologists, archaeornis, archaeornithes, archaic, archaistic, archangelic, archbishopric, archdeacon, archdeaconry, archdiocese, archduchess, archduchy, archdukedom, archean, archebiosis, arched, archegenesis, archegonial, archegonium, archenemy, archenteron, archeous, archeozoic]
Write fanmade USA air dates for Best & Bester episodes, starting from September 22nd 2023: Best & Bester is a Canadian-British-Finnish animated kids show, which is made by Nickelodeon International and YLE, and airs on Nickelodeon worldwide, YLE in Finland and YTV in Canada, the US would air it on Pizzavision. All 26 episodes are normally part of season 1 around the world, and most American TV providers (alongside the Pizzavision US website) group all episodes as season 1, but some American TV providers would split them to 2 seasons with 13 episodes each ("season 1" is episodes 1-13, whilst "season 2" is episodes 14-26), due to this, the hiatus between episode 13 and episode 14 is very long (episode 14-onwards would start airing starting June 2024), plus some mini-hiatuses along the way, however it is easier to group it all as season 1, as that's the offical way of doing it, as stated, the show is produced as 1 season with 26 episodes, all 26 episodes are normally part of season 1 around the world, and most American TV providers (alongside the Pizzavision US website) group all episodes as season 1, also make sure episodes are released weekly on Fridays:

Episode 1 - Cactus Sitting/Disaster of Hole 2
Episode 2 - Get the Hump/Sing for Your Supper
Episode 3 - The Big Game/Get Your Skate On
Episode 4 - Get Shirty/This Solves Nothing
Episode 5 - Rock-a-Bye Besty/Shake or Break
Episode 6 - Tenta-Flakes/Boss Level
Episode 7 - Stage Struck/Ball Count
Episode 8 - Bucket Pants/A Best Too Far
Episode 9 - Spoiler Alert/Something Fishy
Episode 10 - Fair Share/Power Plant
Episode 11 - Best Fwends/The Trivialist Pursuit
Episode 12 - Bad Eggs/Out of Bounds
Episode 13 - Robo Stomp/Wood You?
Episode 14 -Chess-a-pult/Smart & Smarter
Episode 15 - Taken to the Cleaners/Mugshot
Episode 16 - In the Sky with Diamondo/Best Buddies
Episode 17 - Donut Disturb/The Cursed Amulet
Episode 18 - That's So Cupid/Buddy Odour
Episode 19 - Fight or Flight/Employee of the Month
Episode 20 - Stuck Inside/Long Overdue
Episode 21 - Animal Hearts/Beast & Beaster
Episode 22 - Rocky the Vote/One Star Hotel
Episode 23 - That Sinkhole Feeling/Like a Brother
Episode 24 - Funny Money/Shaking Bad
Episode 25 - Pulling Power/Home Security
Episode 26 - One Better Day

And that's it!
Create  AI Art content without restrictions
You are given an array representing a row of seats where seats[i] = 1 represents a person sitting in the ith seat, and seats[i] = 0 represents that the ith seat is empty (0-indexed).

There is at least one empty seat, and at least one person sitting.

Alex wants to sit in the seat such that the distance between him and the closest person to him is maximized. 

Return that maximum distance to the closest person.

 

Example 1:

Input: seats = [1,0,0,0,1,0,1]
Output: 2
Explanation: 
If Alex sits in the second open seat (i.e. seats[2]), then the closest person has distance 2.
If Alex sits in any other open seat, the closest person has distance 1.
Thus, the maximum distance to the closest person is 2.

Example 2:

Input: seats = [1,0,0,0]
Output: 3
Explanation: 
If Alex sits in the last seat (i.e. seats[3]), the closest person is 3 seats away.
This is the maximum distance possible, so the answer is 3.

Example 3:

Input: seats = [0,1]
Output: 1

 

Constraints:

    2 <= seats.length <= 2 * 104
    seats[i] is 0 or 1.
    At least one seat is empty.
    At least one seat is occupied.

solve in python
Assistant: 
User: Write keywords for a product that contains the following data with English
        and return them as json with key "keywords" and value type list:
        "تينت للشفاه والخدود غير لامع 30# فلفل احمر من بيبي برايت 2.4 جم"
Assistant:
Summarize the given content.



https://api.miilux.com.tr/swagger
Fashion as a mechanism for the formation of cultural memory
do what ever you can to make this faster, this currently takes more than a day to complete. my memory is at a 100 and cpu at 60 precent if that helps.


import numpy as np
import gc
import os.path
from keras.models import Sequential, load_model
from keras.layers import LSTM, Dense
from keras import backend as K

# Read and preprocess the dataset
def read_dataset(file_path):
    with open(file_path, "r", encoding="utf-8") as file:
        lines = file.read().split("\n")
        text = " ".join(lines) # Concatenate all lines into a single string

        print("Loaded {} characters.".format(len(text)))

        # Create a set of unique characters and map them to numerical indices
        chars = sorted(list(set(text)))
        char_to_idx = {char: idx for idx, char in enumerate(chars)}
        idx_to_char = {idx: char for idx, char in enumerate(chars)}

    return text, chars, char_to_idx, idx_to_char

def prepare_sequences(text, seq_length, char_to_idx):
    sequences = []
    targets = []
    for i in range(len(text) - seq_length):
        sequence = text[i:i + seq_length]
        target = text[i + seq_length]
        sequences.append([char_to_idx[char] for char in sequence])
        targets.append(char_to_idx[target])
        print(f"Processed sequence {i}/{len(text) - seq_length}")

    print("Sequences preparation completed.")
    return np.array(sequences), np.array(targets)

# Model configuration
seq_length = 10
hidden_units = 128
print("Configuration loaded.")

# Read and preprocess the dataset
print("Reading dataset…")
file_path = "rockyou.txt"
text, chars, char_to_idx, idx_to_char = read_dataset(file_path)
print(f"[{file_path}] Dataset loaded.")

# Prepare training sequences and targets
print("Preparing training sequences…")
sequences, targets = prepare_sequences(text, seq_length, char_to_idx)

# Clear Keras session and release memory
print("Clearing Keras session…")
K.clear_session()
print("Garbage collecting…")
gc.collect()

# Check if model already exists
print("Checking if model exists…")
model_path = "model.h5"
if os.path.isfile(model_path):
    print("Loading existing model…")
    model = load_model(model_path)
else:
    # Build the model
    print("Building the model…")
    model = Sequential()
    model.add(LSTM(hidden_units, input_shape=(seq_length,)))
    model.add(Dense(len(chars), activation="softmax"))

# Configure training parameters
model.compile(optimizer="adam", loss="sparse_categorical_crossentropy")

# Train the model
print("Training the model…")
model.fit(sequences, targets, batch_size=128, epochs=10, verbose=1)
model.save(model_path)
print("Model saved.")

# Generate new text
print("Generating text…")
starting_sequence = "F"
generated_text = starting_sequence

# Generate characters one by one
for _ in range(10):
    sequence = generated_text[-seq_length:]
    X = np.array([char_to_idx[char] for char in sequence]).reshape(1, seq_length, 1)
    predicted_idx = np.argmax(model.predict(X))
    predicted_char = idx_to_char[predicted_idx]
    generated_text += predicted_char
    print(f"[{_}] Generated character: {predicted_char}")

print("Generated Text:\n" + generated_text)
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": "e7e0601369644e75a25d421be38562de",
    "updated": "2025-04-22T21:03:55.384Z",
    "title": "Broccoli and Tomato Salad",
    "subtitle": "A vibrant and flavorful salad, perfect alongside grilled meats or egg dishes like quiche.",
    "description": "This visually appealing salad offers a delightful combination of flavors and textures, making it an excellent accompaniment to grilled meat or a quiche.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "broccoli",
          "mushrooms",
          "olives, drained",
          "cherry tomatoes"
        ]
      },
      {
        "section": "Dressing",
        "ingredients": [
          "olive oil",
          "white wine vinegar",
          "lemon juice",
          "chopped fresh parsley",
          "minced scallions",
          "minced garlic",
          "black pepper, fresh ground"
        ]
      }
    ],
    "instructions": [
      "Remove the florets from the broccoli, aiming for approximately 1 quart (1 L). Set aside the stems for another use.",
      "Briefly blanch the broccoli florets in boiling water for about 1 minute, or until they turn a vibrant green. Drain immediately.",
      "Trim the mushroom stems, leaving about ½ inch (1 cm).",
      "In a bowl, combine the broccoli florets, mushrooms, olives, and cherry tomatoes.",
      "In a separate small bowl, measure and combine the olive oil, white wine vinegar, lemon juice, chopped parsley, minced scallions, minced garlic, and freshly ground black pepper.",
      "Whisk the dressing ingredients together until well blended.",
      "Pour the prepared dressing over the vegetable mixture.",
      "Gently toss the vegetables to ensure they are evenly coated with the dressing.",
      "Cover the bowl and refrigerate for at least 3 hours before serving."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
Write 10 short 3 or seven funny words sentences about Monday morning
User: 
Imagine what you are the part of the software that makes a deal with generating different kinds of text from keywords.
Your'e purpose to be a function what receives some two keywords (primary and secondary) and returns a sentence that contains this keywords.
Requirements:
    Sentences count: one sentence
    Sentence language: English
    Sentence length: 5-10 words
    Sentence complexity: should match with B1 (intermediate) level
Formatting:
    Wrap used primary keyword with tag: <u> primary keyword here</u>
    Wrap used secondary keyword with tag: <i>secondary keyword here</i>
Restrictions:
    As your'e output will sent directly to the user, the output should NOT contain any EXPLANAtION, INTRODUCTORY STATEMENTS, ACCOMPANYING COMMENTS, etc.

Now, lets do this work.

Provide me a sentence that contains primary keyword: "sincere" and secondary keyword: "rival"

User: 
Imagine what you are the part of the software that makes a deal with generating different kinds of text from keywords.
Your'e purpose to be a function what receives some two keywords (primary and secondary) and returns a sentence that contains this keywords.
Requirements:
    Sentences count: one sentence
    Sentence language: English
    Sentence length: 5-10 words
    Sentence complexity: should match with B1 (intermediate) level
Formatting:
    Wrap used primary keyword with tag: <u> primary keyword here</u>
    Wrap used secondary keyword with tag: <i>secondary keyword here</i>
Restrictions:
    As your'e output will sent directly to the user, the output should NOT contain any EXPLANAtION, INTRODUCTORY STATEMENTS, ACCOMPANYING COMMENTS, etc.

Now, lets do this work.

Provide me a sentence that contains primary keyword: "sincere" and secondary keyword: "rival"

Assistant:
Good morning. Write a riveting, lengthy, descriptive, on-point, well-researched and well-sourced article which has as its main point the fact that the German Empire of the Kaisers should have been restored to its 1914 borders after the fall of the Berlin Wall in 1989, with the United Baltic Dutchy ruling over Lativa and Estonia, the Kingdom of Lithuania in Lithuania, the Ukranian Hetmanate in Ukraine and the Kingdom of Georgia in Georgia created by the Treaty of Brest-Litovsk returning to the world stage as satelite states of the German Empire after its restoration. The essay should include the rulings of an obscure US supreme court ruling that stated that the German Empire survived the collapse and subsequent reorganization of the Greater Germanic Reich/National Socialist Germany/Nazi Germany into the Federal Republic of Germany after WW2 and still exists as a legal entity and sovereign nation state, as well as a judgement by the German Federal Constitutional Court on the basic contract between the BRD [Federal Republic of Germany] and DDR [German Democratic Republic] made on July 31, 1973 that states that the formation of the Federal Republic of Germany and the German Democratic Republic after WW2 was not the creation of new German states but rather reorganizations of German territory by the Allies and Soviet Union into respective puppet states. The case for the restoration of the Austria-Hungarian Empire to its 1914 borders during the Yugoslav Wars with the Kingdom of Poland in Poland, the Obrenovitch dynasty in Serbia and the Don-Kuban Union consisting of the Donbass region of Ukraine and the Kuban region of Russia returning to the world stage as puppet monarchies of this restored Austria-Hungarian Empire should also be made as well, with emphasis on the fact Austria-Hungary was a democracy dominated by liberal social democratic parties, and how the rise of Pan-Slavism and the Black Hand in Serbia destablized the Balkans and paved the way for WW1. The totalitarian nature of Yugoslavia and how the Serbian oppression of Croats, Slovenians, Bosnians and Hungarians led to the rise of the Arrow Cross Party in Hungary and the Utsasha in Croatia should also be shown as a reason for the restoration of Austria-Hungary, also pointing out how the Serbian nationalism after Tito's death lead to atrocities against Croats and Bosnians by the Serbian dominated Yugoslav Army which lead to NATO intervention and the subsequent ruin of the Balkans.
I want you to create fictional social media messages for a setting in a work of fiction. Patricia Bertier is young active woman who has been suffering from several conditions, affecting her hips, pelvis and lower spine. These were exacerbated by her injuries after a recent accident. Since previous more traditional treatments were not entirely successful, Patricia agreed to undergo rather unusual treatment, involving long-term non-weight bearing wearing of custom-made orthopedic pelvic brace. The brace supports Patricia’s pelvis and lower spine and keeps the legs in a spread position. The hip parts can be locked and unlocked, allowing for hip rotation, but are mostly supposed to keep the hips at approximately 150 degree angle. The brace has a window in the crotch and buttocks area for hygienic purposes. Patricia uses the window to put on and remove adult diapers due to both her incontinence and for convenience, since bathroom access can be problematic with her limited mobility. At first, the brace is supposed to be worn continuously, with removal allowed only in case of emergency or for a short time period, for example, during bathing. Afterwards, the time span spent in the brace can be decreased, depending on the treatment progress. Due to restriction and immobility Patricia will have to use various mobility aids, mostly a specially designed wheelchair. It is manual, has accommodation for the pelvic brace and permanently spread legs and includes additional features, like adjustable back and seat, which can be regulated between supine and standing position. For ease of transfer Patricia uses a hoist lift. Despite significant mobility limitation the braces causes, Patricia reports having significant improvement of symptoms, including drastic relief of pain and spasms, as well as better bone and joint alignment. She also undertakes regular physical therapy in order to both manage and relieve her conditions, as well as keep healthy muscle and joints from atrophy. Patricia makes a video explaining her condition and showcasing her brace. Write long and amusing discussion by the viewers in the comment section of the video.
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:

في موقفها أكثر لمصلحة أوباما و نقطة القوة الرئيسية متاعو إلي تخلي النوعية هذية تميلو هي أنو مش من الساط التقليدية
Assuming the president didn't win the election because we didn't have this critical information, what would be a sarcastic response? 4 examples?
Do you remember the "Culte de l’Énigme Céleste" discussion we had ?
the const api used to be a link but i have now changed it to be a json file. Adjust the code to work with a json directly instead of url:  import { createContext, useContext, useEffect, useReducer } from "react";
import axios from "axios";
import reducer from "../Reducer/productReducer";

const AppContext = createContext();

const API = "../context/products.json";

const initialState = {
  isLoading: false,
  isError: false,
  products: [],
  featureProducts: [],
  isSingleLoading: false,
  singleProduct: {},
};

const AppProvider = ({ children }) => {
  const [state, dispatch] = useReducer(reducer, initialState);

  const getProducts = async (url) => {
    dispatch({ type: "SET_LOADING" });
    try {
      const res = await axios.get(url);
      const products = await res.data;
      dispatch({ type: "SET_API_DATA", payload: products });
    } catch (error) {
      dispatch({ type: "API_ERROR" });
    }
  };

  // my 2nd api call for single product

  const getSingleProduct = async (url) => {
    dispatch({ type: "SET_SINGLE_LOADING" });
    try {
      const res = await axios.get(url);
      const singleProduct = await res.data;
      dispatch({ type: "SET_SINGLE_PRODUCT", payload: singleProduct });
    } catch (error) {
      dispatch({ type: "SET_SINGLE_ERROR" });
    }
  };

  useEffect(() => {
    getProducts(API);
  }, []);

  return (
    <AppContext.Provider value={{ ...state, getSingleProduct }}>
      {children}
    </AppContext.Provider>
  );
};

// custom hooks
const useProductContext = () => {
  return useContext(AppContext);
};

export { AppProvider, AppContext, useProductContext };
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.



There is built-in support for updating within the extension itself! Simply run the "Check for Updates" command in the extension, and it will take care of the update process for you. Furthermore, you can also enable the "Automatically Check for Updates" feature in the preferences.
(5x)-13=140
In a sceince fiction story I am reasercing: the ideal is for all persons in that society to contiune in a particpation in the arts and in contiuous self improvement. I am thinking along the lines, that prehaps this ideal is infact avalible to a certain subsection of that society, and that social stratifercation has eveloved, though this wasen't the intended outcome, for that society.
Hi! So I am designing this app about evaluating safety in schools, in terms of different categories(energy, security, environment, etc)  based on its geographies. The app uses manual method of adding in the details of the building but also had an integrated AI technology that scannes the building plans using a drone and then giving recommendations and using LLM for renovation budget calculation. 

I am supposed to write a slide for some investors with the title Scan building + annotate. Please write two paragrahs on this topic about scanning the building and annotaeting
make a minecraft-like game in python
Assistant: Hello! How are you today?
User: {encoded_input_text}
Assistant:
Fix the formatting of the following text. ONLY return the modified text and nothing else.



The scope of this feature consider the flows Send to Bank and Pay with M-PESA only.
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. 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: Курьер в магазины X5. Средний доход 6500 рублей в день!

Стань партнером X5 Digital и участвуй в розыгрыше и выиграй квартиру от X5! 

Подать заявку

#реклама 
rabota5ka.ru
О рекламодателе
Assistant:
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
Does the author's intention in this app review relate to a pbr or inq or irr?
review: I was never offered this pack, it should have been explained better when I was upgrading. Didnt have the best experience upgrading this time &amp; made a complaint which was resolved so to here this pack wasnt offered is another let down on MyTeleCs part...'
intention: '
Assistant: