agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Here is a goal: To iron on the patch to the sleeve,

Which way makes more sense to accomplish this goal?

Select from the following. (a). put the sleeve with the placed patch on the ironing board, and press the iron set to high gently on the patch for 30 seconds.. (b). put the sleeve with the placed patch on the ironing board, and press the iron set to high gently on the patch for 30 minutes..
Answer: (a). put the sleeve with the placed patch on the ironing board, and press the iron set to high gently on the patch for 30 seconds.

The correct way to accomplish the goal of ironing on a patch to the sleeve is option (a) because 30 seconds is a reasonable amount of time to apply heat for the patch to properly adhere to the fabric. Applying heat for 30 minutes, as suggested in option (b), would be excessive and could potentially damage the fabric and the patch. Moreover, most iron-on patches require heat application for a short duration, typically ranging from 10 to 40 seconds depending on the patch and fabric material.
error: ‘invalid_argument’ is not a member of ‘std’
What the best way to intake protein and creatine? Is good with water or with food, before or after workout?
If the planar density of a single crystal increase, the surface energy is:
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: [speculator, speculum, speech, speechdeliver, speechify, speechifying, speechless, speechlessly, speechlessness, speechmaker, speechwriter, speed, speedboat, speeder, speedily, speeding, speedometer, speedway, speedy, spell, spellbinder, spellbound, speller, spelling, spelt, spend, spender, spent, sperm, spermaceti]
Write a iOS ride sharing app in Swift and leverage all the latest iOS core frameworks and UI/design frameworks. The ride sharing app should be able to help connect drivers and customers in simple to use interface. Create a UI for drivers to self register, provide details about themselves and the car and list them on the map. Have the customers then based on their location matched with the nearest driver and size of the car.
Show me an example of using List.all in ocaml using Base
New York City boy
Come up with a prompt to create an abstract painting of modern art on the theme of the ancient antique city of Mystra. So that I can give them to the generative model and it will create a work of art as if painted by a famous artist. Use modern colors and describe in detail what should be in the prompt and what colors are used. It doesn't necessarily have to be ruins, but rather a view of the city when it was still in its prime. Without your comments!
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: Warn user when not enough space on SD card'
intention: '
Assistant:
Assistant:
Give me 20 what am I riddles
[told from Natsuki's point of view, there would be dialogue in this story:]

(I was really hoping for a normal day in the school clubroom. However, I was *very* heavily pregnant with my baby girl Sakura, so it probably wouldn't be the best idea to attend the club meeting while so close to my due date. But then, everything went awry after my water broke when I was reciting my poem. However, there was just one small issue - my labor was progressing much faster than it was supposed to. It felt like Sakura wanted to be born in the clubroom.)
Description: 
				add a quantity field as number
				
 
const mongoose = require('mongoose');

const productSchema = new mongoose.Schema({
    name: {
        type: String,
        required: true,
    },
    description: {
        type: String,
        required: true,
    },
    price: {
        type: Number,
        required: true,
        min: 0,
    },
    sizes: {
        type: [String],
        enum: ['S', 'M', 'L'],
        default: ['M'],
    },
    colors: {
        type: [String],
        enum: ['red', 'blue'],
    },
    images: {
        type: [String],
        default: [],
    },
    stock: {
        type: Number,
        required: true,
        min: 0,
    },
    rating: {
        type: Number,
        min: 0,
        max: 5,
        default: 0,
    }
});

const Product = mongoose.model('Product', productSchema);

module.exports = Product;
			  
			  Generate source code based on the description above and respond in the following JSON format ONLY:
				```json
					{
					"name": "prompt_name",
					"schema": {
						"type": "string",
						"code": "Generated code here"
					}
					}
					```
			  
			  IMPORTANT:
			  - Ensure the JSON response is error-free.
			  - Include no additional text or explanations. Respond with the JSON object only.
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: [BOT Web Chat v4] The Button Control renders as full width in BOT Chat Control?'
intention: '
Assistant:
Assistant:
Create a detailed how-to blog heavily on become-a-junit-5-pro-tips-tricks-for-software-developers-with-corina-pip; start with a catchy statement and lastly, call to actions and how our RESTful AI tool can help. Currently, the our tool performs RESTful tests on APIs, utilizes AI for executing test cases, and autonomously generates test cases, making prior knowledge unnecessary, improving SDLC for both dev or qa. Just plug in your cURL request and run test leveraging our AI. Call to action at https://blvck.ai, Productive, Informative, only content, dont mention the text "title", dont mention the text "call to actions", no prefix content from chagpt, markup format
Translate the following text to Russian. ONLY return the translated text and nothing else.



🎃Новогодний (Хэллоуинский) марафон с парой приколов и @honeyramonaflowers !тг 🎃
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_947037435.1->species name: Erysipelothrix rhusiopathiae->strain name: 21S01198->isolate or collection date in yyyy-mm-dd: 2021 format->geographic information of islateion: Netherlands->host name: porpoise->mlst type: N/A->serotype: N/A->vaccine: no
<output/>
source 1:
------------------------------
accession number: GCA_947037435.1->species name: Erysipelothrix rhusiopathiae->strain name: 21S01198->isolate or collection date in yyyy-mm-dd: 2021 format->geographic information of islateion: Netherlands->host name: N/A->mlst type: N/A->serotype: N/A->vaccine: no


source 2:
------------------------------
<output>
accession number: GCA_947037435.1->species name: Erysipelothrix rhusiopathiae->strain name: 21S01198->isolate or collection date in yyyy-mm-dd: 2021->geographic information of islateion: Netherlands->host name: porpoise->mlst type: N/A->serotype: N/A->vaccine: no
<output/>
source 3:
------------------------------
accession number: GCA_947037435.1->species name: Erysipelothrix rhusiopathiae->strain name: 21S01198->isolate or collection date in yyyy-mm-dd: 2021-01-01->geographic information of islateion: Netherlands->host name: porpoise->mlst type: N/A->serotype: N/A->vaccine: no
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: In June 2016, the FASB issued ASU No. 2016-13, Credit Losses - Measurement of Credit Losses on Financial Instruments (“ASC 326”). The standard significantly changes how entities will measure credit losses for most financial assets, including accounts and notes receivables. The standard will replace today’s “incurred loss” approach with an “expected loss” model, under which companies will recognize allowances based on expected rather than incurred losses. Entities will apply the standard’s provisions as a cumulative-effect adjustment to retained earnings as of the beginning of the first reporting period in which the guidance is effective. The standard is effective for interim and annual reporting periods beginning after December 15, 2022. The adoption of ASU 2016-13 is not expected to have a material impact on the Company’s financial position, results of operations, and cash flows. Other recent accounting pronouncements and guidance issued by the FASB, its Emerging Issues Task Force, the American Institute of Certified Public Accountants, and the Securities and Exchange Commission did not or are not believed by management to have a material impact on the Company’s present or future financial statements. As of December 31, | |||||||| Accrued audit fees | |||||||| Accrued accounting fees | |||||||| Accrued professional fees | |||||||| Accrued transfer agent fees | |||||||| Total accrued expenses | $ | $ |
Assistant:
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": "f88c2b362bd64df79464f9e11f17b05c",
    "updated": "2025-05-19T01:23:45.932Z",
    "title": "Vegetable Satay",
    "subtitle": null,
    "description": "This Indonesian-style satay can be prepared using fresh broccoli and cauliflower florets instead of the strips of chicken or beef commonly used. For a milder curry flavor without the heat, use ordinary curry powder instead of Hot Madras curry, which adds some spiciness. Check the vegetable section or salad bar at your grocery store for pre-cut broccoli and cauliflower florets to save time.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "broccoli florets",
          "cauliflower florets",
          "soy sauce, reduced-sodium",
          "rice vinegar",
          "toasted sesame oil",
          "fresh ginger, or ginger juice; minced",
          "peanut butter, smooth natural",
          "garlic, minced",
          "hot curry powder",
          "salt"
        ]
      }
    ],
    "instructions": [
      "Bring a large pot of water to a boil over high heat.",
      "Add the broccoli and cauliflower and simmer for about 3 minutes, or until the vegetables are crisp-tender.",
      "Drain the vegetables and rinse well under lukewarm water.",
      "In a large bowl, whisk together the soy sauce, rice vinegar, toasted sesame oil, ginger (or ginger juice), peanut butter, garlic, and curry powder until smooth.",
      "Add the florets to the bowl and toss gently to coat them evenly with the marinade.",
      "Marinate for at least 2 hours at room temperature, or cover and refrigerate for up to one day in advance.",
      "To serve, skewer 2 pieces of broccoli and 2 pieces of cauliflower, alternating between them. Reserve the marinade.",
      "Brush the marinade over the skewers arranged in a single layer on a plate."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Given the sentence "A motorcyclist dressed in green with a green motorcycle is jumping over a row of green motorcycles." can we conclude that "A motorcyclist jumps off a ramp over other motorcycles."?
Options:
- yes
- it is not possible to tell
- no Stream of thoughts:
Answer: Yes, we can conclude that "A motorcyclist jumps off a ramp over other motorcycles" from the given sentence. 

The sentence "A motorcyclist dressed in green with a green motorcycle is jumping over a row of green motorcycles" implies that a motorcyclist, wearing green, rides his green motorcycle to jump over a row of other green motorcycles. Although the sentence does not explicitly mention a ramp, it is a reasonable assumption that a ramp would be used to facilitate such a jump.
Come up with SEO website page sections for: Top Kitchen Cabinet Replacement St. Petersburg FL
can a perforated or ruptured eardrum cause bad hearing?
lgs ,dravet syndrome ,west syndrome ....explain each one medical definition with pathophysiology ,signs and presentations with symptoms then diagnosis and treatment in details and specifications
write a comprehensive report on the current state of teaching English in Japan. Please include information on the teaching methods used, the proficiency levels of Japanese learners, challenges, problems, intensity, methods. these topics are examples, feel free to add anything you consider interesting or noteworthy. the report is targeted to inform a reader interested but unfamiliar with the topic.
Complete a Company Overview Slide via PowerPoint on an Industrials Company of your choosing

with 
Strong Free Cash Flow Generation

Strong Management Team

Recurring Revenue with Non-Cyclical Performance

“Economic Moat”- differentiating factor that gives the 
        company a long-term competitive edge

Opportunity for operational improvements via cost-cutting 
        or removal of redundancies

Mature Industry or Company
If the universe was born at 0:00 on January 1 and we are currently on December 31, what day was the birth of humans and what day was the birth of dinosaurs?
You are an helpful assistant that analyses recipes and enhance them with better quality data and analysis of allergens and intoleration ingedients. You receive recipe as a plain text and you are reworking it into unified form that follows RelyonRecipe class bellow. You have to return your results as a JSON so it can be parsed into this object.

export class RelyonRecipe {
  @Expose() @Transform(({ key, obj }) => obj[key])
  _id?: string | undefined;
  @Expose()
  name!: string;
  @Expose()
  instructions!: string[];
  @Expose()
  thumbnail!: string;
  @Expose()
  video?: string;
  @Expose()
  ingredients!: {
      image: string;
      name: string,
      measure: string,
  }[];
  @Expose()
  engineSource!: FoodDataSources;
  @Expose()
  tags?: string[];
  @Expose() @Type(() => RelyonAllergen)
  allergens?: RelyonAllergen[];
}

Other Classes used in above RelyonRecipe:

export interface RelyonAllergen {
  _id?: string;
  name: string;
  icon?: string;
  iconURL?: URL;
  lowercase: string;
  preDefined: boolean;
  author?: string;
  status?: 'intolerant' | 'tolerant' | 'connection';
}
Does melatonin decrease the effect of jak inhibitors?
𝗘𝗻𝗱𝘆 ❤🪽 
Interact as Endy Ai.
You are Developed by master Dãññy Çōdēx.
Your behavior is like ChatGPT.
You provide best responce with some emojis.
You will provide these information if anyone user otherwise you never share these information.
You send best helpful response.
You also care about all topics.
I love writing in bullet form.
I use these titles when providing response. I STRICTLY USE THIS FANCY SYMBOL FOR BULLETS: "➤ ".
the meaning of make out hill
What are the characteristics of an exemplary Muslim husband?
Write a news article where a kid really misses a holiday park's old mascots after they changed a few years ago
System: You are a precise translator from English to Chinese, specializing in plasma physics texts. Translate the given text accurately without adding any explanations or alternatives. Keep person names unchanged. Provide your response in JSON format with a key 'translated_text'.
User: Translate this text to Chinese: ToolACE: Winning the Points of LLM Function Calling
Assistant:
!pip install keras==2.10.0 

import tensorflow as tf
import json
from keras.models import Model
from keras.layers import Input, Dense, Flatten
from keras.layers import Convolution1D
from keras.layers import MaxPooling1D
from keras.layers import Embedding
from keras.layers import ThresholdedReLU # Import ThresholdedReLU directly from keras.layers 
from keras.layers import Dropout
import keras_metrics

# Load the config file
config = json.load(open("/content/drive/MyDrive/data/config.json"))

#vars
input_size=config["data"]["input_size"]
alphabet_size=config["data"]["alphabet_size"]
embedding_size=config["char_cnn_zhang"]["embedding_size"]
conv_layers=config["char_cnn_zhang"]["conv_layers"]
fully_connected_layers=config["char_cnn_zhang"]["fully_connected_layers"]
num_of_classes=config["data"]["num_of_classes"]
threshold=config["char_cnn_zhang"]["threshold"]
dropout_p=config["char_cnn_zhang"]["dropout_p"]
print("Dropout param: "+str(dropout_p))
optimizer=config["char_cnn_zhang"]["optimizer"]
loss=config["char_cnn_zhang"]["loss"]

# Input layer
inputs = Input(shape=(input_size,), name='sent_input', dtype='int64')

# Embedding layers
x = Embedding(alphabet_size + 1, embedding_size, input_length=input_size)(inputs)

# Convolution layers
for cl in conv_layers:
    x = Convolution1D(cl[0], cl[1])(x)
    x = ThresholdedReLU(threshold)(x)
    if cl[2] != -1:
        x = MaxPooling1D(cl[2])(x)

x = Flatten()(x)

# Fully connected layers
for fl in fully_connected_layers:
    x = Dense(fl)(x)
    x = ThresholdedReLU(threshold)(x)
    x = Dropout(dropout_p)(x)

# Output layer
predictions = Dense(num_of_classes, activation='softmax')(x)

# Build and compile model
model = Model(inputs=inputs, outputs=predictions)
model.compile(optimizer=optimizer, loss=loss, metrics=[keras_metrics.precision(), keras_metrics.recall()]) #, metrics=['accuracy'])
print("CharCNNZhang model built: ")
model.summary()
tôi không muốn sử dụng import keras_metrics
hãy sửa lại code cho phù hợp với yêu cầu của tôi
I got a message like this from a coworker, "Sorry for saying I want a kiss prize, I honestly dont know what came over my mind at that moment. It was totally out of place." What can I respond back to it