agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Assistant: 
User: 
    Please analyze the following code file and determine whether it belongs to any of the provided modules based on the listed module descriptions.
    Note that the provided list of modules may not be exhaustive, and some files may not belong to any of the modules. 
    If the code belongs to a module, Only output the module name, without any explanation or additional information; otherwise, return 'None' if it does not belong to any module.

    Modules : {
        "UI": "Handles the front-end user interface, consisting of HTML, CSS, and JavaScript files generated by the Angular framework. It processes user requests and interacts with the server using AJAX for data retrieval and client-side interactions."
"Test Driver": "Facilitates automated regression testing and handles transmission of test data in JSON format. It performs Java testing using TestNG and JavaScript unit-testing with Jest. It also sets up a simulated web server for servlet-level tests and automates end-to-end testing using Selenium Java."
"Logic": "Manages the business logic of TEAMMATES, including handling relationships between entities, managing transactions, input value sanitization, access control rights, and interfacing with GAE-provided or third-party APIs."
"Storage": "Performs CRUD operations on data entities, validation of data, and abstraction of GQL queries, hiding the complexities of datastore from the Logic component."
"Common": "Contains utility classes, custom exceptions, and data transfer objects used across the entire application for easy consolidation and transfer of structured data."
"E2E": "Handles end-to-end testing and load & performance testing, providing helpers, abstractions of browser pages, and test cases for E2E tests and L&P tests."
"Client": "Contains scripts for administrative tasks, such as migrating data to a new schema and calculating statistics. This module connects directly to the application back-end for administrative purposes."
    }

    Code: package teammates.common.datatransfer; /** * Represents the type of target user groups for notifications. */ public enum NotificationTargetUser { /** * Target users are students only. */ STUDENT, /** * Target users are instructors only. */ INSTRUCTOR, /** * Target users are both instructors and students. */ GENERAL }
    
Assistant:
Write an comedy anime scene about a young woman chatting with a traveler she met. She has short ginger hair covering her eyes. She is tall and buff. She is dressed in a white tank-top with blue stripes, khaki pants and combat boots. She is busty. She has a Russian accent. She is in the Russian army. She has a loud, prideful and enthusiastic attitude. The setting is in the 1980s. That traveler has a cold and shy attitude. He is from the US. The setting is in a bar somewhere in a desert.
rewrite this in a language the youth can understand:
Breast cancer is the second most common cancer worldwide and is the leading cause of
cancer related deaths among women. Early detection and treatment of breast cancer are
crucial for improving the chances of survival and reducing the impact of the disease on the
patient’s quality of life. Mammography is the most widely used screening method for the
early detection of breast cancer. However, the accuracy of mammography depends on the
radiologist’s interpretation of the images, which can be affected by factors such as
experience, skill, and workload. Computer-aided diagnosis (CAD) systems have been
developed to assist radiologists in interpreting mammography images and improving the
accuracy of breast cancer detection. Deep learning, a subfield of machine learning, has
shown promising results in various medical imaging tasks, including breast cancer
detection. DeepBreastCancerNet is a deep CNN model that was specifically designed for the
detection and classification of breast cancer from mammography images. The architecture
of DeepBreastCancerNet is more complex than conventional CNN models and includes 24
layers, including six convolutional layers and nine inception modules. The model uses a
combination of convolutional layers and inception modules to extract features from
mammography images at different scales and levels of complexity. The model also includes
batch normalization and max-pooling layers to reduce overfitting and improve the model’s
generalization performance. The performance of DeepBreastCancerNet has been evaluated
on several benchmark datasets and has shown superior performance compared to other
state-of-the-art breast cancer detection models. The model has also been tested on datasets
from different populations and imaging modalities, and the results have shown consistent
performance across different settings. The potential impact of DeepBreastCancerNet on the
field of breast cancer diagnosis and treatment is significant. The model can improve the
accuracy of breast cancer detection, reduce the workload of radiologists, and potentially lead
to earlier diagnosis and better treatment outcomes for patients. In this report, we survey the
architecture of DeepBreastCancerNet and explore its performance in comparison to other
state-of-the-art breast cancer detection models. We also discuss the potential impact of this
model on the field of breast cancer diagnosis and treatment.
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:

ودرجين قدام المكتب
Provide 15 nicknames that have a touch of mystery and femininity.
Is unlikely that you can fall asleep while sitting up
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 captive insurance companies are regulated by state authorities. State regulations generally provide protection to policy holders, rather than stockholders, and generally involve:_• | approval of premium rates for insurance; |_• | minimum amounts of statutory capital surplus that must be maintained; |_• | limitations on types and amounts of investments; |_• | regulation of dividend payments and other transactions between affiliates; |_• | regulation of reinsurance; |_• | regulation of underwriting and marketing practices; |_• | approval of policy forms; |_• | methods of accounting; and |_• | filing of annual and other reports with respect to financial condition and other matters. |_These regulations may increase our costs of regulatory compliance, limit our ability to change premiums, restrict our ability to access cash held in our captive insurance companies, and otherwise impede our ability to take actions we deem advisable._
Assistant:
Is it possible to make GNU Octave and/or Matlab give exact values to trigonometric evaluations?
Roblox murathans british army info: we have 6 regiments, intel corps ric, grenadier guards rgg, education and training services ets, special forces uksf, military police rmp, ministry of defence mod. we have a raider group called ghost Legion. to join a regiment you need to pass a tryout, application, or a academy that is hosted randomly. attend trainings to get xp to get promoted and attend royal military academy to become a officer. chairman is murathan, field marshal is sufiyan. roblox group member count: 113, server member count: 91. to become a veteran you must honorably discharge from army HQ. National Security council is IC head, and Army board is a board of people that oversee regiments., user prompt: @mrmurathan
Hello,
Do you know electronic ? I want to create a phone that looks like a smartphone, with a touchscreen to write and receive sms,and call and anwswer phonecall, and bluetooth but with no support for internet reception what so ever.
What Year Did Color TV Enter Chile?
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
examples:

review: @AppleSupport my phone has been charging since 10 am and it's now 1:34 pm and it's at the same battery level :-(
intention: bug report
review: @Snapchat could use a website feature for regular computers just to watch snaps
intention: feature request
review: @Windows comes up third in OS clash two years early _URL_ via @Computerworld
intention: other
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
examples:

review: @AppleSupport my phone has been charging since 10 am and it's now 1:34 pm and it's at the same battery level :-(
intention: bug report
review: @Snapchat could use a website feature for regular computers just to watch snaps
intention: feature request
review: @Windows comes up third in OS clash two years early _URL_ via @Computerworld
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: @CallofDuty you're that friend that has no original jokes, just steals other's material with no credit. Stop. _URL_'
intention: '
Assistant:
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
Comment reconnaître l'anomere alpha et l'anomere beta
Summarise the video at https://www.youtube.com/watch?v=tjnrGU83PB4&t=36s titled Automatic Gain (Vocal) Riding in REAPER and break it down into a simple list of step by step instructions. Ignore any reference to ReaComp or ReaEQ. Concentrate specifically on the use of the plugin JS: Loudness Meter Peak/RMS/LUFS and writing automation envelopes.
Generate an catchy song lyrics similar to Burna boy style that has good chorus that people will always sing should be about a crush but she is take
Generate an image creation prompt specifically optimized for the Flux Schnell model. The prompt should vividly describe the scene or concept expressed by the following sentence: 'This event blurred the boundaries between public decorum and private indulgence, leaving a lasting legacy in cultural lore.'. Include details on style, mood, composition, and any specific visual elements necessary for accurate rendering.
"Nice to talk with you just now.  Attached please find my business card.     

 

As said, I shall call you on 20 Jun (Thu) at 11:00am for phone interview.      

 

Further to our phone conversation, please fill in the attached Skills Matrix and send me the following documents by email:

                                                                                                                                                                                                                                          

1 Education Certificates & Transcripts

2 Professional  Certificates  

3 Employment Reference Letters/  Proofs       

 

                                                                        

Please also provide the following information (if applicable):

 

Chinese Full Name in HKID Card:_____________________
English Full Name in HKID Card: _____________________
Date of Birth: __________________________
 I am a HK permanent resident /
 Visa Required.  I) Visa Type:_____________ II) Country / Region of Issue: ______________ III) Visa Expiry Date: ______________
  

 

I recommend you to set the password for the scanned documents.  Many thanks!

 

Best regards,

Katy Yeung                                                                                             

IT Solutions Ltd.

3165 8322                                           "
Reply this email that I attached the docs, keep it in short.
System: You are an accounting expert. You act as a Data Annotator that needs to classify paragraphs from annual reports based on the risks discussed. Here is a list of risk often discussed but you can provide others. 

Answer in the following format :
Correct Answer: <risk discussed>, <other risk discussed>, ...
Wrong Answer: <risk not discussed>, <other risk not discussed>, ...
User: We have in the past incurred, and may in the future incur, losses from various types of fraud, including use of stolen or fraudulent credit card data, claims of unauthorized payments by a rider, attempted payments by riders with insufficient funds, fraud committed by drivers and fraud committed by riders in concert with drivers. Bad actors use increasingly sophisticated methods to engage in illegal activities involving personal information, such as unauthorized use of another person’s identity, account information or payment information and unauthorized acquisition or use of credit or debit card details, bank account information and mobile phone_numbers and accounts. Under current card payment practices, we may be liable for rides facilitated on our platform with fraudulent credit card data, even if the associated financial institution approved the credit card transaction. Despite measures that we have taken to detect and reduce the occurrence of fraudulent or other malicious activity on our platform, we cannot guarantee that any of our measures will be effective or will scale efficiently with our business. Our inability to adequately detect or prevent fraudulent transactions could harm our reputation or brand, result in litigation or regulatory action and lead to expenses that could adversely affect our business, financial condition and results of operations.
Let's give a correct and a wrong answer:
Assistant:
parts of document design review?
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: Flame for Xion
(In the main Azur Lane base…)

Kashino: “Good morning, New Jersey! I brought back these supplies from our latest mission.”

New Jersey: “Oh, great! Thanks, Kashino. We’re always in need of more supplies, especially with all the recent battles we’ve been facing.”

Kashino: “No problem, happy to help. How are things going on the front lines?”

New Jersey: “It’s been tough, but we’re holding our own. The Sirens have been relentless, but we won’t back down. With your help and these supplies, we’ll keep fighting until we win.”

Kashino: “I have no doubt about that. We have a strong team here, and we can definitely turn the tide in our favor. Let’s keep pushing forward together. But first, I think I heard the sound of something clanging against the floor in the shop.”

New Jersey: (sighs) “What did
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: [Question] Outer circle size/scale'
intention: '
Assistant:
Assistant:
переделай письмо сделай его более романтичным и интересным Good morning dear! 
Wake up from your sweet dreams and live them in real today………. May all your dreams 
come true!!!!Be happy in hearing all words and seeing all faces today; be happier 
on remembering the happy moments of yesterday……  :)  :)  :)  💞💞💞

Today it is Sunday. I got up as usually very early. I think it is already habit 
developed over the years. Though I don't need to be in a hurry anywhere. I bought 
yesterday a good mattress and slept very well.

I bought yesterday at the market a fresh fish carpenter and I am going to bake it 
in an oven. It is very big and I am afraid I will not be able to eat it alone so I 
invited my cousin and her husband for dinner. Do you like fish? How do you usually 
cook it? What do you like more fish or meat?🙄 

Also I will cook my favourite salad "Olivie”. It consists of boiled potatoes, boiled 
eggs, pickled cucumbers and peas, sausages and greens. Early this salad was cooked 
only on holidays but now we cook it every time we want. What is your favourite salad? 
:roll: 

So you see the holiday for my stomach I can do myself but holiday for my soul can do 
only you. You are my pearl, my sun that shines within my heart. I miss you. Whether 
we are together or when we are apart, You are first in my thoughts, the first in my
 heart.

A kiss is special thing that you  can’t take without giving, and you can’t give without 
taking. Let's exchange ours! Kisssssssssss you. 👄👄👄👄👄.... 
Yours Pretty Chef! 😍😍😍
Let you be very good at math.

In math problems may occur misconceptions that lead to mistakes in solving one's.
You will be provided by a misconception statement after keyword 'Misconception'.
Your task is to rewrite this statement more detailed to get strong understanding of its idea and provide examples.
Misconception: Believes the sum of change in x and change in y gives the distance between points
System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: We may invest in second-lien mortgage loans or RMBS backed by such loans. If a borrower defaults on a second lien mortgage loan or on its senior debt (i.e., a first-lien loan, in the case of a residential mortgage loan), or in the event of a borrower bankruptcy, such loan will be satisfied only after all senior debt is paid in full. As a result, if we invest in second-lien mortgage loans and the borrower defaults, we may lose all or a significant part of our investment. None
Assistant:
Hi there I need and article about the twelve tenses of English
act as a digital marketing director, draft a 5 minutes presentation to share what is digital marketing for business use