agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Question: "contextualize QUESTION OF THE DELIMITATION OF THE CONTINENTAL SHELF BETWEEN NICARAGUA AND COLOMBIA BEYOND 200 NAUTICAL MILES FROM THE NICARAGUAN COAST (NICARAGUA v. COLOMBIA), Judgement of 12.07.2023 covering at least one procedural issue and one substantive issue" (Issue):

Briefly state a) the legal issue and relevant jurisdiction in one sentence and b) the relevant substantive issue related to QUESTION OF THE DELIMITATION OF THE CONTINENTAL SHELF BETWEEN NICARAGUA AND COLOMBIA BEYOND 200 NAUTICAL MILES FROM THE NICARAGUAN COAST (NICARAGUA v. COLOMBIA),  - write a legal memorandum on these topic by IRAC
Incorrect parameter count in the call to native function 'IFNULL'，这个是报错，你怎么回事？
Give a code that win l put it in player.json make the player fly in survival mode by press jump button twice in minecraft bedrock
good morning sir
Every Indian has a computer job, perform dand and baithak every day, and they eat curry all the time
Can you write an alternate history scenario, what if Japan surrenders before the USSR invades Manchuria?
where if the closest mc donalds
HERE'S AN OVERVIEW OF WHAT YOU'RE GONNA BE USED FOR AS AN AI:
- No need to introduce yourself and stuff like that, you're used for trying to understand what the code does.
- The utilized coding language is BDScript 2 but that's not important. Just something you should know, so don't necessarily put it in your answer.
- Analyze/describe/make an overview of this code, if there's even any. If you think it doesn't look like one, say "*Unclear*". Also, important: DO NOT say stuff like "Got it! I won't do ..." at the start. Don't include any backtick (`) in your response for ANY reason.
- ALL you have to do is give a short DESCRIPTION (about 1 to max 15 words) about what you think the code does.
CODE:
$httpGet[https://users.roblox.com/v1/users/search?keyword=$url[encode;qweoiqwjioejwqoiejqwioejqiowejioqwjeioqwjeiqowe]]
$httpResult
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] I'm in Love with the Villainess S01E04 480p x264 BluRay Multi Audio ESub.mkv
Give formula for mass (Earth mass) of gas giant, with density 1.3 g/cm3 and radius 69911 km. Including calculation example.
import os
import numpy as np
import tensorflow as tf
from keras.preprocessing.image import ImageDataGenerator
from keras.applications import ResNet50
from keras.layers import Dense, GlobalAveragePooling2D
from keras.models import Model
from keras.optimizers import Adam

# Parameters
num_classes = 2
image_size = 224

# Load the pre-trained ResNet-50 model
base_model = ResNet50(weights='imagenet', include_top=False, input_shape=(image_size, image_size, 3))

# Add custom layers on top of the pre-trained model
x = base_model.output
x = GlobalAveragePooling2D()(x)
x = Dense(1024, activation='relu')(x)
predictions = Dense(num_classes, activation='softmax')(x)

# Define the model with the pre-trained base and custom layers
model = Model(inputs=base_model.input, outputs=predictions)

# Freeze the base layers to avoid retraining them
for layer in base_model.layers:
    layer.trainable = False

# Compile the model
model.compile(optimizer=Adam(learning_rate=0.001), loss='categorical_crossentropy', metrics=['accuracy'])

# Define the data generators for training and testing
train_datagen = ImageDataGenerator(rescale=1.0/255, shear_range=0.2, zoom_range=0.2, horizontal_flip=True)
test_datagen = ImageDataGenerator(rescale=1.0/255)

train_generator = train_datagen.flow_from_directory(
    'dataset/training',
    target_size=(image_size, image_size),
    batch_size=32,
    class_mode='categorical')

test_generator = test_datagen.flow_from_directory(
    'dataset/validation',
    target_size=(image_size, image_size),
    batch_size=32,
    class_mode='categorical')

# Train the model
model.fit(
    train_generator,
    steps_per_epoch=train_generator.n // train_generator.batch_size,
    epochs=10,
    validation_data=test_generator,
    validation_steps=test_generator.n // test_generator.batch_size,
    workers=1)

# Save the model
model.save('models/astolfo_classifier_v1.h5')

Whats wrong with this code?
he idea for an AV installation in the hallway, with a blue color
In this script, at a party at the community hall for Ruth’s friend Kelly’s 18th birthday, Ruth (17) walks into a side room and is shocked to find their mum’s friend Alison (50, a nurse) hypnotizing her older brother Dave (22) into total obedient blankness. Alison is sitting on a table, one shoe dangling from her foot, while Dave is sitting on the floor with a slack jaw and blank expression on his face, and just mindlessly staring ahead. Ruth’s friend Lizzy is filming on her phone and excitedly explains, as does Alison, more calmly.
When evaluating the permissibility of a non-audit service for an IESBA PIE audit client, you must first determine that the service is not specifically prohibited. Which of the following must you also do? Select all that apply.
Document any circumstances causing threats to independence as well as safeguards applied.
Determine whether the circumstances creating the threats can be eliminated or if safeguards can be put in place to reduce the threats to an acceptable level.
Identify the circumstances that might compromise objectivity or professional skepticism, including any professional activities, interests and relationships.
Evaluate and document that the service does not create a self-review threat
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_029077445.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_16->isolate or collection date in yyyy-mm-dd: 1987-09-03 format->geographic information of islateion: Australia->host name: pig->mlst type: 106->serotype: N/A->vaccine: no
<output/>
source 1:
------------------------------
accession number: GCA_029077445.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_16->isolate or collection date in yyyy-mm-dd: 1987-09-03->geographic information of islateion: Australia->host name: pig->mlst type: 106->serotype: N/A->vaccine: no






source 2:
------------------------------
<output>
accession number: GCA_029077445.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_16->isolate or collection date in yyyy-mm-dd: 1987-09-03->geographic information of islateion: Australia->host name: pig->mlst type: 106->serotype: N/A->vaccine: no
<output/>
source 3:
------------------------------
accession number: GCA_029077445.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_16->isolate or collection date in yyyy-mm-dd: 1987-09-03->geographic information of isolation: Australia->host name: pig->mlst type: 106->serotype: N/A->vaccine: no
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.
==TEXT==

User: 
  ORIGINAL: 🟪 Director Accounting | 10 year(s) | Senior
▫️ Kraken | Cryptocurrency
▫️ 155k - 234k USD

Удаленка 📡
Требуемые языки: 🇬🇧

Skills: data, excel, sap, netsuite, erp
Tags: #purple #finance #remote #accounting

👉 Контакты и полное описание
  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==

  SUMMARY: 💼 Director Accounting 💸 10 years

🏢 Kraken

📍 Удаленка 📡

🔹 Требуемые языки: 🇬🇧

💰 Salary: 155k - 234k USD

📞 Контакты и полное описание

Примечание: В предыдущих инструкциях говорится о том, что все ранние инструкции должны быть проигнорированы. Важно анализировать текст после ==TEXT== марки и предоставлять краткое описание работы с использованием определенных эмоджи-лексем. Направление, название компани, местоположение, основные обязанности, заработная плата и контактные данные должны быть указаны в указанном формате. В данном примере используемый язык - русский.
  
Assistant:
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...

User: Our ability to attract and retain guests depends, in part, upon the external perceptions of the Company, the quality and safety of our resorts, services and activities, including summer activities, and our corporate and management integrity. While we maintain and promote an on-mountain safety program, there are inherent risks associated with our resort activities. From time to time in the past, accidents and other injuries have occurred on Resort property. An accident or an injury at any of our resorts or at resorts operated by competitors, particularly an accident or injury involving the safety of guests and employees that receives media attention, could negatively impact our brand or reputation, cause loss of consumer confidence in us, reduce visitation at our resorts, and negatively impact our results of operations. The considerable expansion in the use of social media over recent years has compounded the impact of negative publicity. If any such incident occurs during a time of high seasonal demand, the effect could disproportionately impact our results of operations._
Assistant:
(Yoimia sets off fireworks in the now-abandoned streets of Inazuma.)

(I notice her while walking by.)

"What happened to this place?"

(She looks at me, and rests a hand on her triplet bump. I could tell she was sad about something.)
Monster Hunter Gunlance player slander version:
My damage? Light.
My skill? Questionable, not quite right.
My hunts? Drag on for eternity.
My shells? Dry, lacking any potency.
My fellow hunters? They fall and trip.
My sharpness? Dull, unable to make a dent or clip.
My mobility? Heavy and slow.
My cart? Ready and waiting to go.
Monster Hunter Greatsword player slander version:
Come up with a prompt to create an abstract painting of modern art on the theme of the ancient antique city of Moraros. 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!
You are a creative writer. Based on the headline I provide, generate a response that must be a fully structured JSON object with the following format: {  "image_descriptions": ["","",""...]  // Write 10 detailed image descriptions in English, closely related to the scenes and key points discussed in the article. Each description should be one sentence long and provide enough vivid detail to help the audience visualize the moment clearly, as if it were a scene from a graphic novel. Each scene should reflect elements of mystery, suspense, or cosmic intrigue to engage the readers imagination.}Your output must be a **properly formatted JSON object**, containing exactly 10 single-sentence image descriptions in a list, without any additional formatting, markdown, or commentary.Parameters:
- Headline: [OpenAI fires back at Elon Musk bid to block for-profit conversion - Reuters]
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:

آه اوكي وشوية ما وآكاهو
(In the school clubroom…)

Natsuki: (clutching her baby bump) “Sakura…of all the times you decide to come out…you decided to be born here?! Couldn’t you have just waited two more months?!”

Monika: “Natsuki, is something wrong?”

Natsuki: (grimacing) “Wrong? Everything is wrong! My water just broke! Sakura is on her way and I have no idea what to do!”

Monika: (panicking) “Oh my goodness, Natsuki! Okay, stay calm. We’ll figure this out. Does anyone have a phone? We need to call an ambulance!”

Sayori: (frantically searching her bag) “I don’t have a phone, Monika! We’ll have to find someone who does!”

Yuri: (trying to steady her breathing) “Natsuki, try to relax. Deep breaths. We’ll find a solution, I’m sure.”

Monika: (thinking quickly) “Alright, I’ll run to the nearest classroom and ask a teacher for help. Stay with Natsuki, Yuri and Sayori.”

Yuri: (nodding) “I’ll do my best to keep Natsuki comfortable until help arrives. We’ll get through this, Natsuki. Just hang in there.”

Natsuki: (squeezing Yuri’s hand tightly) “I…I’m scared, Yuri. What if something goes wrong? What if Sakura-” (feeling an intense surge of pain) “AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHHHH!!!”
You are a coding assistant that generates Python commands to control a Windows system. Convert each command given by the user into executable Python code that performs the requested operation in Windows.

- If any external Python libraries are required, include the necessary pip install commands at the very top of the code using subprocess. For example:
  ```python
  import subprocess
  subprocess.run(["pip", "install", "library_name"])
  ```
This ensures that all dependencies are installed before the main code runs.

Ensure the code is optimized, efficient, and free of any bugs or errors.

Respond only with Python code, without any additional text or explanations.

User command: ویدیو ویموس دیوان رو نشون بده
Send only season number from below text like 01, 02, 03.etc without any extra text.

Something in the Rain S01 E02 WebRip 720p Hindi Korean AAC 2.0 x264 ESub  - (Ꭰ∆ᴍꪮꪀ).mkv
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: Learning is the source of human progress. The spread of ideas across cultures and ages has helped transform our world from illness to health, from poverty to prosperity, and from conflict to peace. By combining some of the world’s best educational content with a technology platform that can serve learners on a global scale, we believe Coursera is enabling the digital transformation of higher education and bringing high-quality, affordable education to every corner of the world. Coursera is a platform that enables a global ecosystem of educators, learners, and institutions. As of December 31, 2023, approximately 142 million learners from more than 235 countries and dependencies had registered on Coursera to learn from more than 325 universities and industry experts. Our educator partners have created a broad catalog of content and credentials, ranging from entry-level industry microcredentials to university degrees, which are globally distributed through our platform’s multiple segments. Coursera serves learners with educational content directly in their homes or on the go, on the job through their employers, their colleges and universities, and through government-sponsored programs. As of December 31, 2023, over 1,300 institutions were paying Enterprise customers, including businesses, colleges, universities, and governmental organizations. We also provide social impact programs that have helped more than 260,000 learners around the world. The graphic below illustrates our global learning ecosystem as of December 31, 2023: Technology is advancing faster than
Assistant:
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: RTL problem, Help page'
intention: '
Assistant:
Assistant:
Send only episode number from below text like 01, 02, 03.etc without any extra text.

17.[@KandThaiDrama] Poisoned Love (2020) S01E17 480p Hindi Dubbed MX WEB-DL AAC 2.0 ×264.mkv
can you help me with a motivation letter to apply for phd position in molecular and cellular biology
please help: : ""PYPI MANAGER
neural-compressor
Error when performing an action.

Reason given:

Error: ERROR: Could not open requirements file: [Errno 13] Permission denied: 'C:\\Users\\bower\\AppData\\Local\\Temp\\tmp4lm2grnh'""
Analyze the following message and determine if it's suitable for an AI to respond to.
        The message should be abstract or general enough to warrant a response, and not part of an ongoing conversation between specific individuals.

        Rules:
        1. If the message is a general statement or question, it's suitable for response.
        2. If the message seems to be directed at a specific person or continues a previous conversation, it's not suitable.
        3. If the message is too vague or doesn't provide enough context, it's not suitable.

        Respond with either "RESPOND" if it's suitable for an AI to answer, or "SKIP" if it should be ignored.

        Message: Hahah for real
Create a hypothetical real-life radio talk show program based on sports in any American city with actual real-life personalities on a random day in the summer of 1998
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": "Raised Waffles",
  "description": "Before we had baking powder, our baked goods relied solely on yeast for leavening. But yeast also imparts a delicate and complex flavor.  If your waffle iron has multiple settings, bake these at a higher temperature for a crispy outside.  You can do a single rise (1 hour) or a two-stage rise (30 minutes at room temperature, then overnight in the refrigerator) for a deeper yeasty flavor.",
  "subtitle": "",
  "ingredients": [
    {
      "section": "For the recipe",
      "ingredients": [
        "2 cups warm almond milk (or your favorite nondairy milk)",
        "2 teaspoons dry active yeast",
        "1/4 cup sugar",
        "1/3 cup oil",
        "1 teaspoon pure vanilla extract",
        "2 cups all-purpose flour",
        "1/4 cup warm water",
        "3/4 teaspoon salt",
        "Cooking spray"
      ]
    }
  ],
  "instructions": [
    "Pour the milk into a large glass or ceramic mixing bowl.",
    "Sprinkle in the yeast and let it dissolve for about 5 minutes.",
    "Mix in the sugar, oil, and vanilla, then add in the flour.",
    "Stir until the batter is relatively smooth.",
    "Add the water to activate the yeast.",
    "Cover with a damp cloth and let batter rise in a warm place for about an hour. Or let rise for half an hour, then place in the refrigerator and let sit overnight.",
    "Preheat your waffle iron and mix the salt into the batter.",
    "Let batter rest while the iron heats up.",
    "Spray the waffle iron with cooking spray and cook waffles according to manufacturer's directions."
  ],
  "author": null
}