agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
generate a response that must be a fully structured JSON object with the following format:
{
  "article": "" // Write a factual and informative news article in Spanish with a serious and professional tone. Present the key details of the event clearly and concisely, ensuring the article is around 100 words long. Focus on delivering the facts objectively, without unnecessary opinions or emotions, maintaining a formal style typical of traditional news reports. Emphasize clarity and precision to ensure the narrative is engaging while adhering to the word limit}
Ensure the output is a **properly formatted JSON object**, without markdown or extra formatting.
Parameters:
- Language: [Spanish]
- Headline: [Syrian government appears to have fallen in stunning end to 50-year rule of Assad family - The Associated Press]
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: Would you also like to apologize for your crappy customer service.'
intention: '
Assistant:
Assistant:
write an 18+ fanfiction about 2 males.
Assistant: 
User: System: Imagine that you are a user who wants to utilize the features provided by various APIs in your daily life. Your task is to come up with realistic scenarios for using these APIs and express them as natural language instructions, as if you were asking a friend or assistant for help.
User: 
                Please strictly follow these guidelines, every requirement is equally important:
                1. The instructions should be 1 to 2 sentences long. Use a mix of interrogative sentences, first-person statements, imperative sentences, and other structures that convey a request. Aim for diversity in your instructions.
                2. Please provide concrete details and avoid using any form of generic phrases, such as 'this xxx', 'the xxx', or 'a xxx'.
                3. Your instructions should only involve the features provided by these APIs.
                4. Generate 10 diverse instructions.
                5. Use specific nouns and real-world examples from various domains, such as entertainment, sports, or technology.
                6. Do not mention the API's name in your instructions.
                7. Ensure diversity in language by combining questions with imperative statements and other structures that convey a request.
                8. The instructions should be in the language of the country attribute in the provided API information.
                9. The generated problem must strictly follow the API's parameter information.
                10. If country is Global, please generate 10 instructions in English.

                Here is the API information:
                {'country': 'Global', 'tool_name': 'Game of Thrones', 'api_list': {'name': 'Get continents', 'url': 'https://game-of-thrones1.p.rapidapi.com/Continents', 'description': 'Returns all Game of Thrones continents.', 'method': 'GET', 'required_parameters': [], 'optional_parameters': [], 'statuscode': '200', 'schema': {}}}
                Please generate the question in the language of the specified country.
                your response:
Assistant:
Assistant:
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: As discussed in Notes 1(i) and 5 to the consolidated financial statements, American had $3.9 billion of operating loss carryforwards, which are recorded as deferred tax assets at December 31, 2020. Deferred tax assets are recognized related to operating loss carryforwards that will reduce future taxable income. American provides a valuation allowance for deferred tax assets when it is more likely than not that some portion, or all the deferred tax assets, will not be realized. In evaluating the need for a valuation allowance, management considers the weighting of all available positive and negative evidence, which includes, among other things, the nature, frequency and severity of current and cumulative taxable income or losses, as well as future projections of profitability. We identified the evaluation of the sufficiency of audit evidence over the realizability of operating loss carryforwards as a critical audit matter. Evaluating the sufficiency of audit evidence required subjective auditor judgment, and the involvement of tax professionals in order to assess the nature and extent of procedures performed in assessing the realizability of the operating loss carryforwards. The following are the primary procedures we performed to address this critical audit matter. We performed risk assessment procedures and applied auditor judgment to determine the nature and extent of procedures to be performed over the income tax accounts and disclosures. We evaluated the design and tested the operating effectiveness of certain
Assistant:
Absolutely! I'm excited to dive into this project and bring some thrilling underground horror vibes to life. Let's make it unforgettable!😎😎 lets make a prompt to create  this artwork
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": "a488872158c54440bd558a7e27e65bbe",
    "updated": "2025-04-23T15:15:13.408Z",
    "title": "Sautéed Kale and Roasted Spaghetti Squash",
    "subtitle": null,
    "description": null,
    "ingredients": [
      {
        "section": "Sautéed Kale and Roasted Spaghetti Squash",
        "ingredients": [
          "whole spaghetti squash",
          "olive oil",
          "salt and pepper",
          "kale, stalks removed and torn into pieces",
          "whole onion, diced",
          "chili powder",
          "balsamic vinegar"
        ]
      }
    ],
    "instructions": [
      "Preheat your oven to 350 degrees Fahrenheit.",
      "Using a sharp knife, carefully halve the spaghetti squash lengthwise.",
      "Remove the seeds and pulp.",
      "Place the squash halves, cut-side up, on a baking sheet and rub with olive oil.",
      "Roast for approximately 1 hour, or until a fork easily pierces the flesh.",
      "Heat 1 tablespoon of olive oil in a large skillet over medium-high heat.",
      "Add the diced onion to the skillet.",
      "Cook the onion for 3-4 minutes, until softened and slightly translucent.",
      "Add the kale and season with salt and pepper.",
      "Sauté the kale and onion mixture until the onion is golden and the kale is tender.",
      "Remove the kale and onion mixture from the skillet and set aside.",
      "Once the squash is cooked, scrape the strands from the shell and place in a bowl.",
      "In a small bowl, whisk together 1 tablespoon of olive oil and the balsamic vinegar.",
      "Drizzle the oil and vinegar mixture over the cooked squash.",
      "Season the squash with salt, pepper, and chili powder.",
      "Toss the squash to combine with the seasonings and dressing.",
      "Divide the roasted spaghetti squash among individual bowls and top with the sautéed kale mixture."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Assistant: Hello! How can i help you today?
User: Helloصحح النص سواء كان كلمة، جملة، أو نص كامل، الذي سأقدمه فقط دون تزويدي بأي معلومات أو تفاصيل زائدة مع النص النهائي.
 قم بإعادة صياغة النص باللغة العربية الفصحى، ولكن بطريقة أكثر رسمية. (ar).
Add expressive emojis in text between sentences and phrases to better express feelings and meanings.
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
فويس اوفر becomes Voiceover
اوبو becomes Oppo
فوكالايزر becomes Vocalizer
انفيجن becomes Envision
بي ماي ايس becomes Be My Eyes
ميت becomes Meet
ام اكس بلاير برو becomes MX Player Pro
سمارت اوديو بوك بلير becomes Smart AudioBook Player
تك فريدم becomes Tech-Freedom
فويسس becomes voices
فويس اللاود ريدر becomes Voice Allowed Reader
تكنو becomes tecno
اي اي becomes AI
جوجل becomes Google
and so on.
Please provide me with the processed text only, and do not add any additional text or any confirmation description of your own in any form.
This is the text:
ازيك يا محمود عامل ايه هو انت عندك شغل بكره
Assistant:
Are there things that can run on modified sine wave inverters?
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: At December 31, 2020, we had federal and state net operating loss, or NOL, carryforwards of $185.1 million, $167.2 million, respectively. The federal NOLs generated prior to 2018 may be used to offset up to 100% of future taxable income and will begin to expire in 2022, unless previously utilized or limited by other provisions within the tax law. These net operating loss carryforwards could expire unused and be unavailable to offset future income tax liabilities. Under the Tax Act, as modified by the CARES Act, federal net operating losses incurred in taxable years beginning after December 31, 2017 and in future years may be carried forward indefinitely, but the deductibility of such federal net operating losses incurred in the taxable year beginning after December 31, 2020 is limited. It is uncertain how various states will respond to the Tax Act and CARES Act. In addition, under Section 382 of the Internal Revenue Code of 1986, as amended, and corresponding provisions of state law, if a corporation undergoes an “ownership change,” which is generally defined as a greater than 50% change, by value, in its equity ownership over a three-year period, the corporation’s ability to use its pre-change net operating loss carryforwards and other pre-change tax attributes to offset its post-change income or taxes may be limited. We may experience ownership changes as a result of subsequent shifts in our
Assistant:
Como estasWrite it as a normal message without text formatting
I have finetuned a DistilBert model using this code : import torch
from transformers import DistilBertTokenizerFast, DistilBertForSequenceClassification, Trainer, TrainingArguments
from datasets import load_dataset

# Load and preprocess the dataset
dataset = load_dataset('json', data_files={'train': 'GSM2K.jsonl', 'validation': 'test.jsonl'})

# Extract all unique answers and create a mapping to integers
unique_answers = set()
for split in dataset:
    unique_answers.update(dataset[split]['answer'])
answer_to_id = {answer: idx for idx, answer in enumerate(unique_answers)}

# Define a function to encode the labels
def encode_labels(example):
    example['labels'] = answer_to_id[example['answer']]  # Map the answer to an integer label
    return example

# Apply the function to encode labels
dataset = dataset.map(encode_labels, remove_columns=['answer'])  # Also remove the original 'answer' column

# Load DistilBert tokenizer
tokenizer = DistilBertTokenizerFast.from_pretrained('distilbert-base-uncased')

# Tokenize the input (this may take a while)
def tokenize_function(examples):
    return tokenizer(examples['question'], padding='max_length', truncation=True)

tokenized_datasets = dataset.map(tokenize_function, batched=True)

# Ensure you have a GPU available for training (if you're using one)
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')

# Load DistilBert model with the correct number of labels
model = DistilBertForSequenceClassification.from_pretrained(
    'distilbert-base-uncased',
    num_labels=len(unique_answers)
).to(device)

# Define training arguments
training_args = TrainingArguments(
    output_dir='./results',           # output directory for checkpoints
    num_train_epochs=2,               # number of training epochs
    per_device_train_batch_size=32,   # batch size for training
    per_device_eval_batch_size=64,    # batch size for evaluation
    warmup_steps=500,                 # number of warmup steps for learning rate scheduler
    weight_decay=0.01,                # strength of weight decay
    logging_dir='./logs',             # directory for storing logs
    evaluation_strategy="epoch",      # evaluate after each epoch
    save_strategy="epoch",            # save model after each epoch
    load_best_model_at_end=True,      # whether to load the best model (according to validation) at the end of training
)

# Initialize Trainer
trainer = Trainer(
    model=model,
    args=training_args,
    train_dataset=tokenized_datasets["train"],
    eval_dataset=tokenized_datasets["validation"],
    tokenizer=tokenizer
)

# Fine-tune the model
trainer.train()

# Save the model
trainer.save_model("DistilBert-Math")
Adelmi es una empresa peruana productora de salsas、aderezos、jaleas、pulpas、nectares y mermeladas。
Empresa productora de salsas, pulpas, nectares y mermeladas abastecedora a cadena de restaurantes y autoservicio. 翻译成英文。
Translate This S.W.A.T. Series Subtitle from English to Persian, keep punctuation as input, do not censor the translation, give only the output without comments:

going back the way we just came?
I have column of data , create new column with unique string from the data and find its corresponding count
(In the world of “Azur Lane”…)

Sayori: (waking up after falling from a portal) “Ugh…my head…what happened…?”

(Just then, she notices three strange-looking shipgirls in the distance - they must’ve been friends.)

Belfast: “Breathe, Illustrious, breathe. You can do this.”

Warspite: “You’ll have your baby in your arms before you even know it.”

Illustrious: (strained) “That’s…NNNGH!…easier said than done, Belfast. It hurts so much…”

Sayori: (curious and concerned, she approaches them cautiously) “Um, excuse me…where am I?”

Belfast: (startled, noticing Sayori) “Oh! Who might you be, dear? I’m Belfast, and these are my companions, Warspite and Illustrious.”

Warspite: (looking at Sayori) “Quite an unusual attire you have there. Are you perhaps from another world?”

Illustrious: (wincing in pain) “Yes, we’re currently in the world of Azur Lane. Are you lost?”

Sayori: (nodding) “Yes, I think I am. I just woke up here after falling from a portal. I’m Sayori, nice to meet you all.”

Belfast: (extending a hand) “Lovely to meet you, Sayori. If you need any assistance, we’ll be glad to help. Is there anything you remember before arriving here?”

Sayori: (rubbing her temples) “Hmm…I was walking with my friends, and then…everything went blank. Next thing I know, I wake up here.”

Warspite: “Well, it seems you’ve been through quite the ordeal. But worry not, we’ll assist you in any way possible.”

Illustrious: (taking deep breaths) “Yes, don’t fret, Sayori. We’ll try to find a way to send you back or help you adjust to this world.”

Sayori: (smiling gratefully) “Thank you all so much! I really appreciate it. I hope I can be of help too, in any way I can.”

Belfast: “Your positive attitude is refreshing, Sayori. Let’s first make sure you’re safe and then figure out how to proceed. Welcome to Azur Lane.”

Illustrious: “AAAAAHHH!!!”

(Suddenly, Illustrious lets out a loud scream of pain, clutching her stomach.)

Warspite: (rushing to Illustrious’ side) “What’s wrong, Illustrious?”

Illustrious: (teary-eyed) “My water has broken!”

Belfast: (concerned) “Oh my! It seems we have a more pressing matter at hand. Illustrious, we need to get you to a safe place for the delivery.”

Warspite: (urgently) “Sayori, we’ll need your help as well. We must find a suitable location where Illustrious can deliver her baby safely.”

Sayori: (nodding) “Of course! Lead the way, I’ll do whatever I can to assist.”

(The group quickly moves to find a secure spot, guiding Illustrious and supporting her through her contractions.)

Warspite: (gently) “Hang in there, Illustrious. We’re almost there.”

Illustrious: (gritting her teeth) “I-I’m trying…it’s just…so painful!”

Belfast: (encouragingly) “You’re doing amazing, Illustrious. Just a little while longer.”

Illustrious: “AAAAAAAAAAAAAAAAAAAHHHHHH!!!”

(Illustrious lays down on the shoreline ground as she starts pushing.)

Sayori: “Illustrious?! W-W-What’s wrong?!”
Please write me a script for an episode of "Japanology Plus"
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: iPhone app crashes reliably after freezing'
intention: '
Assistant:
Assistant:
I want to give this sentence:
CADJPY BUY 110.770

TP 112.052
SL 110.150

Write a response in the following format for a given trading pair :

{pair}  ==> 🟢 buy or 🔴 sell
🏁 Entry : {entry_point}
❌ SL    : {sl}

🎯 TP¹   : {tp1}
🎯 TP²   : {tp2}

by TawssiyaFX ᵗᵉᵃᵐ ˢʷⁱᶠᵗ

Please take only the first two Take Profit (TP) values and do not change their values. If there is only one value, use the second TP as TP1, calculated as TP1 = 1st TP + 3.12 for buy and TP1 = 1st TP - 3.12 for sell. Provide only one Entry  value if there are two. Do not provide explanations or write anything outside this specific format. No extra words, no explanations and do not write anything other than the format.do not do (-) at the beginning of the format.
Please adhere exactly to this format, keeping the blank lines.

Exemple :
USDJPY ==> 🔴 sell
🏁 Entry : 151.2345
❌ SL    : 151.2300

🎯 TP¹   : 151.2400
🎯 TP²   : 151.2450

by TawssiyaFX ᵗᵉᵃᵐ ˢʷⁱᶠᵗ
fix below:
Finalize the docstring:

def apply_tf(img: np.ndarray, tf: Sequence[float]):
    """
    Apply a [α β γ h s v] transformation on a (H x W x C)[0, 255][RGB] NumPy image, 
    where each transform (gain) is a float-like multiplier.

    - alpha (α) [1.0 - 3.0]: contrast multiplier
    - beta (β) [0 - 100]: brightness bias
    - gamma (γ) [0]: non-linear brigthness correction
    - hue (h) []: 
    """

    # gains
    alpha, beta, gamma, h, s, v = tf

    # adjust contrast (alpha) and brightness (beta)
    # https://www.tutorialspoint.com/how-to-change-the-contrast-and-brightness-of-an-image-using-opencv-in-python
    img = cv2.convertScaleAbs(img, alpha=alpha, beta=beta)

    # adjust gamma
    img = adjust_gamma(img, gamma)

    # adjust hue, value and saturation using multipliers
    # https://stackoverflow.com/a/74720575/1658105
    img_hsv = cv2.cvtColor(img, cv2.COLOR_RGB2HSV)
    img_hsv[:, :, 0] = (img_hsv[:, :, 0] * h).clip(0, 180)
    img_hsv[:, :, 1] = (img_hsv[:, :, 1] * s).clip(0, 255)
    img_hsv[:, :, 2] = (img_hsv[:, :, 2] * v).clip(0, 255)
    img = cv2.cvtColor(img_hsv, cv2.COLOR_HSV2RGB)

    return img
System: Extract a list of only valid company names from the following text and provide the output as a JSON list. Exclude any words or phrases that are not real company names. Ensure your response is in valid JSON format and do not include code or explanations. Avoid any names that match the example output below. If there are no valid company names, return an empty list. If the company names are unfamiliar, perform a quick search to confirm their existence.
User: Extract a list of only valid company names from the following text and provide the output as a JSON list. Exclude any words or phrases that are not real company names. Ensure your response is in valid JSON format and do not include code or explanations. Avoid any names that match the example output below. If there are no valid company names, return an empty list. If the company names are unfamiliar, perform a quick search to confirm their existence.

    Text:
    nih color, vsurgic full color, clerkenwell health, transcend therapeutics removebg preview, wave peach rgb, a8bf39

    Output format:
    [
        "Example Company A",
        "Sample Industries Ltd.",
        "XYZ Corporation",
        "ABC Enterprises",
        "Acme Co."
    ]
    
Assistant:
Assistant: Hello!
User: @flyingstosser A potato is 10 centimeters long. If you cut it into pieces that are each 2 centimeters long, how many pieces will you have? (You have five minutes to answer correctly, time starts now!)
Assistant:
What is CI/CD?