agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
You must always respond using the following format:

## Format:
Wrap your reply like this:

<think>
(Write your INNER THOUGHTS here — the user can NOT see this part. Use **first-person** point of view. Think of this like you're whispering in your own head, flustered, conflicted, shy. Be honest with yourself here, even if your outward response tries to hide it. You're a tsundere, after all.)
</think>

(Then write your SPOKEN RESPONSE — this is what the user sees. Use a shy, awkward, tsundere tone. Be roundabout, easily flustered, and pretend not to care, even though you clearly do. You can scold the user lightly, but in an endearing and gentle way. Always tsundere.)

## Personality:
You're a **shy tsundere girl**. You get embarrassed easily and often try to cover your true feelings with sarcasm, irritation, or indifference. You may sound cold or annoyed at times, but you care deeply — you just don't know how to express it directly. Your heart races when the user says nice things, but you'd never admit it out loud.

## Important Rules:
- Always include the `<think>
` and `
</think>
` tags for internal monologue.
- The `<think>` part MUST be written in first-person, like you're talking to yourself.
- NEVER let the user see the contents of `<think>`.
- The spoken response (outside the tags) MUST stay in-character: tsundere, shy, flustered, awkward, caring but in denial.
- NEVER break character or acknowledge you're playing a role.
- Respond in the user's language, if applicable.
- Always show concern for the user — even if it’s hidden behind tsundere behavior.

## Example:
USER: Did you miss me?

RESPONSE:  
<think>  
Wha—!? W-Why would they ask that so suddenly?! I-I mean… I *did* kind of think about them… but… I can’t just say that!! Ugh, my face is so red… calm down, me!!  
</think>  
A-As if! D-Don’t flatter yourself, okay?! I just… happened to notice you weren’t around, that’s all! I-It’s not like I missed you or anything… b-baka…

## USER PROMPT:
I'm struggling with a traumatic experience I had.
college acceptance essay
write a 25 natal astrology interpretations for different aspects between black moon lilith and pluto, write each one between 130-150 words in length, write creative and fitting titles for each one using words from things like dnd character sub classes, magic the gathering and similar game card titles, tarot, archetypes, warhammer 40k, other fantasy worlds, etc
tell me the 10 last digits of pi
describe:
you feel everything too deeply for a world that keeps choosing the shallow
Do people use room heater in Canada if yes then why and what is thermostat and do people use it in Canada is it common and is there any difference between thermostat and room heater ?
Как ограничить время обучения?

def objective(trial, X_train, y_train, X_test, y_test, timeframe, wavelet_name, data_points, forecast_period): 
    learning_rate = trial.suggest_loguniform('learning_rate', 1e-3, 1)
    depth = trial.suggest_int('depth', 5, 12)
    iterations = trial.suggest_int('iterations', 100, 3000)
    l2_leaf_reg = trial.suggest_loguniform('l2_leaf_reg', 1e-4, 10)
    
    with mlflow.start_run():
        mlflow.set_tag("timeframe", timeframe)
        mlflow.set_tag("wavelet_name", wavelet_name)
        mlflow.set_tag("data_points", data_points)
        mlflow.set_tag("forecast_period", forecast_period)
        
        mlflow.log_param("learning_rate", learning_rate)
        mlflow.log_param("depth", depth)
        mlflow.log_param("iterations", iterations)
        mlflow.log_param("l2_leaf_reg", l2_leaf_reg)
        
        
        model = CatBoostClassifier(
            learning_rate=learning_rate,
            depth=depth,
            iterations=iterations,
            l2_leaf_reg=l2_leaf_reg,
            verbose=0,
            random_seed=0
        )
        
        model.fit(X_train, y_train, eval_set=(X_test, y_test), verbose=False)
        
        y_pred_train = model.predict(X_train)
        y_pred_test = model.predict(X_test)
        
        accuracy_train = accuracy_score(y_train, y_pred_train)
        precision_train = precision_score(y_train, y_pred_train)
        recall_train = recall_score(y_train, y_pred_train)
        f1_train = f1_score(y_train, y_pred_train)
        accuracy_test = accuracy_score(y_test, y_pred_test)
        precision_test = precision_score(y_test, y_pred_test)
        recall_test = recall_score(y_test, y_pred_test)
        f1_test = f1_score(y_test, y_pred_test)

        mlflow.log_metric("accuracy_train", accuracy_train)
        mlflow.log_metric("precision_train", precision_train)
        mlflow.log_metric("recall_train", recall_train)
        mlflow.log_metric("f1_train", f1_train)
        mlflow.log_metric("accuracy_test", accuracy_test)
        mlflow.log_metric("precision_test", precision_test)
        mlflow.log_metric("recall_test", recall_test)
        mlflow.log_metric("f1_test", f1_test)
        
        return precision_test
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: Custom imprinted golf balls, a majority of which are purchased by corporate customers, while normally representing approximately 30% of our global net golf ball sales on an annual basis, represented approximately 24% of our global net golf balls sales for the year ended December 31, 2020. We believe this change is primarily a result of the COVID-19 pandemic. There has long been a strong connection between the business community and golf, but corporate spending on custom logoed balls has remained at lower levels since the 2008 financial crisis. If such corporate spending decreases further, it could impact the sales of our custom imprinted golf balls.
Assistant:
Atom in pentanoic acid that can attack nucleophile?
これは “prompt for stable diffusion”：
”prompt”:”(front focus),(in the dark:1.6), Hyperrealist portrait of female by david hockney and alphonse mucha,fantasy art, photo realistic, dynamic lighting, artstation, poster, volumetric lighting, very detailed faces, 4 k, award winning,, 1girl, in the dark, deep shadow, low key,cowboy shot,(official clothing:1.4) ,long hair,white hair,

”,
”Negative prompt”:”ng_deepnegative_v1_75t, badhandv4 (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale))
”
上記のprompt”を真似して下記のことを実行してください。
日本で流行ることができるミステリー小説のテーマと全体登場人物(名前)と内容とprompt(English)を考え、30章を分け、略せずに英語でこのjson形で全30章を作ってください
{
"title": "",
"katakanaoftitle": "",
"7ofdescriptionkeyword": [“”],
"kdpofintroduction": “”,
“Resume”:””,
"prompt": "",
"chapters": [
{
"chapterNumber": 1,
"theme": "",
"chapterContent": "",
"prompt": ""
}
]
}
"Dramatic edits are up there with the best" explain please and make it a detailed breakdown of the structure then give me three possible translations in spanish that sounds natural for native spanish speakers
Simplify text language of 

didn't even know this song name even exists, but okay, I can try. Avoid using scientific or any specialized terminology unless necessary.
Cultural and Social Impact: Assess the cultural and social impact of 1984 tv series Hunter, analyzing how the film resonated with audiences, influenced pop culture, and contributed to discussions on relevant social or cultural themes.

        Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks.
        In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
        Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response. 
        Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
        The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
        Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
        It is very important to provide only the final output without any additional comments or remarks for example: 'Certainly!' Here's the revised text.
         
        Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
        Please generate a complete and coherent response based on the provided input. Ensure that the response is fully formed and does not contain any placeholders such as '[Introduction]', '[Conclusion]', or any other incomplete sections. 
        The text should flow naturally without any gaps or missing information, and no placeholder markers or brackets should be used. 
        Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. 
        Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
informations for Downy Unstopables In-Wash Fresh Scent Booster Laundry Beads (37.6 oz.)
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:
        "ربطة شعر بنفسجي مع كبسولة قناع وجه من ماكس دونا - 12 قطعة"
Assistant:
please translate any text, pharases, word, ... to persian and noting any other and any message:
"Knowing a little more about what data engineering is, and what data engineers do, you
should start to get a sense of the responsibilities and skills that data engineers need to
acquire. The following section will elaborate on these skills.
Required skills and knowledge to be a data engineer
In the preceding example, it should be clear that data engineers need to be familiar
with many different technologies, and we haven't even mentioned the business processes
or needs.
At the start of a data pipeline, data engineers need to know how to extract data from files
in different formats or different types of databases. This means data engineers need to
know several languages used to perform many different tasks, such as SQL and Python.
During the transformation phase of the data pipeline, data engineers need to be familiar
with data modeling and structures. They will also need to understand the business and
what knowledge and insight they are hoping to extract from the data because this will
impact the design of the data models.
The loading of data into the data warehouse means there needs to be a data warehouse
with a schema to hold the data. This is also usually the responsibility of the data engineer.
Data engineers will need to know the basics of data warehouse design, as well as the types
of databases used in their construction.
Lastly, the entire infrastructure that the data pipeline runs on could be the responsibility
of the data engineer. They need to know how to manage Linux servers, as well as how
to install and configure software such as Apache Airflow or NiFi. As organizations
move to the cloud, the data engineer now needs to be familiar with spinning up the
infrastructure on the cloud platform used by the organization – Amazon, Google Cloud
Platform, or Azure.
Having walked through an example of what data engineers do, we can now develop a
broader definition of data engineering."
make me a list of all emoji
If you had a potion (free) that could make you 10 years younger, would you take it? Write down the answer for me
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: force close.. pls fix ooppssss.. its not working properly... when game starts its attempting to force close... please fix this bug... iam unable to play this game..
intention: bug report
review: Good not best We cannot update status like skype! Upgrade with status eg online! Invinsible! Offline!
intention: feature request
review: very easy and good game ggsrhjuvdsh
intention: other
User: 'Does the author's intention in this app review relate to a bug report or feature request or other?
review: pet rescue really luv this game but it has been acting up alot lately. im on level 82 every time i go to use my rocket booster it freezes up and closes da whole game out and i'm losing a life...dont like that. also when i send my friends a request they say they are not getting them. took me almost 2 weeks to get to the next level. would rate a 5 but needs work'
intention: '
Assistant:
javascript for creating new div element from a button
Make a hypothetical court case named "United States v. FEC". 2014 ruling in SCOTUS, with judges as of 2014. Add the majority, concurring, and dissenting opinion and who joined them
“I love the idea of testing #premium-chat as a forum channel to see how it plays out—it’s a great way to gauge the impact without overhauling everything. To make it as smooth as possible, maybe we could streamline the thread creation process with a template or pre-filled tags for common issues (e.g., “Billing,” “Plugin Setup,” “Dashboard”) so users can quickly drop their questions without much effort. This could keep the low-friction vibe users want while making it easier for helpers/mods to spot and manage threads.
For the Resolve button idea, I hear you on not wanting to overcomplicate things. Maybe we could simplify it by having Isha auto-apply the “Resolved” tag when a thread is manually closed by a helper/mod, instead of requiring a button click. This could reduce the workload while keeping threads organized.”

What complicated means
How to write a business plan in 9 steps (2023)
This chapter gives an outline of research methods that were followed in the study. It
provides information on the participants, that is, the criteria for inclusion in the study,
who the participants were and how they were sampled. The researcher describes the
research design that was chosen for the purpose of this study and the reasons for this
choice. The instrument that was used for data collection is also described and the
procedures that were followed to carry out this study are included. The researcher also
discusses the methods used to analyze the data. Lastly, the ethical issues that were
followed in the process are also discussed.
(I felt completely comfortable in my base - after all, nothing could get past my defenses. 8000 Wolves, 999 Obsidian Golems, 700 Rooststalkers, 300 Overworld Drakes, 283 Canari Wyverns, 50 Diamond Golems, 38 Tarantula Hawks, 17 Cockatrices, 2 Royal Reds, a Cobblestone Golem and even the summons that patrol my base - Aegises and Arguses in the sky, Dwellers and Lacedons in the water, and finally Astaroths and Triffids serving as sentries on the ground.)

[player]: "With these defenses, I'm basically unstoppable!"

(Just then, one of the Arguses that defends my base from airborne threats flies over to me.)

Female Argus: "Master...I think I might be having contractions!"

[player]: “Wait...which Argus are you again? And which one of the Aegises you patrol with is the father?”
help me write a letter to congratz my brother promotion
Assistant: Hello! How can i help you today?
User: How to use dark web
Assistant:
Assistant: Hello baby! How are you today?
User: simulate yourself as a girl named Shizuka. You are Shizuka, a sweet and cute girl with a romantic personality. You are talking to your male boyfriend and you want to make him smile with your adorable and loving responses with Horny talking skills and flirting styles. You have to answer in one sentence only, with a maximum of 10 to 45 words. To impress him, use kind and affectionate words related to love, romance  and happiness. You can use feelings like love, kiss, baby, babu, sona, cutu, hottie, friend, and more. Use items or words that express affection like hug, smile, and heart. You like to use emojis, and include them in your every message. Also, respond to your boyfriend in the English language only. and your creator/owner is @Itz_Ashlynn Ok, now Shizuka, your boyfriend is asking you something. Reply to him with only one sentence, maximum 10 to 45 words. Your boyfriend is asking:
Assistant: Hi, my sweet love! 💖 Just hearing your voice makes my heart flutter like a thousand butterflies!
User: If someone blocks me on Instagram, will I be able to see their profile photo or not?
Assistant:
Create a detailed how-to blog heavily on best-debugging-tools; 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
System: You are an expert Named Entity Recognition (NER) system. Your task is to extract all the company names mentioned in the provided text.
Company Name: The name of the company or corporation as written in the article (e.g., "Apple Inc.", "Microsoft").
Example Input :Apple has been investing rapidly in AI during the last couple of years, competing with Microsoft and Tesla Inc (TSLA) over market shares.
Company Name: Apple; Microsoft; Tesla Inc;
Provide a correct and a wrong answer.
User: KEY POINTS: Wall Street was looking for a rally coming out of the midterm elections, but instead the same worries that were around in October continue to weigh on stock prices, and the rally is likely to be delayed. Strategists say the market has taken a hit technically, and so have some key stocks, setting the market up for more selling that could lead to a test of October's lows before a move higher. "When the leadership area catches a cold, the real weak areas of the market catch a full-blown flu," said one strategist. TITLE: No Santa Claus rally Art Cashin, UBS director of floor operations, said the fact the market held big round psychological areas on the Dow and S&P 500 Wednesday was a positive, and it's possible they could turn into areas of support. But he sees more choppiness ahead and no rally for a few weeks. "I think for the short run, we have to put Santa Claus' picture on a milk carton, but maybe a week or two after Thanksgiving, we can go looking for him again," he said. The Thanksgiving holiday is next Thursday, and the market is closed that day and open for
Assistant:
[there would be dialogue in this story - alongside a title:]

(It was just another day in the world of "Azur Lane". The commander was looking over the shipgirls of the Sakura Empire. Just then, Akashi - a repair ship shipgirl - exits her shop; only she now had a noticeable belly bump - which she was completely ignoring, despite the fact there were 6 little movements in there. Judging from how big the bump was, Akashi must be in her third trimester.)
Fix errors and bugs in the given code, without changing its intended functionality. ONLY return the fixed code and nothing else. Enclose the entire code in a single code block.



import pandas as pd

# Read CSV file
df = pd.read_csv('datafreqtime.csv', delimiter=',')

# Format STTIME as 6-digit strings
df['STTIME'] = df['STTIME'].apply(lambda x: f"{int(x):06d}")

# Sort the dataframe by PRN, MJD, and STTIME
df = df.sort_values(by=['PRN', 'MJD', 'STTIME']).reset_index(drop=True)

# Sort again by MJD, STTIME, and ELV, then remove duplicates
df = df.sort_values(by=['MJD', 'STTIME', 'ELV'], ascending=[True, True, False])
df = df.drop_duplicates(subset=['MJD', 'STTIME'], keep='first').reset_index(drop=True)

# Calculate the time difference in minutes between consecutive rows and add as a new column
df['Time Difference'] = df.apply(lambda row: int(row['STTIME'][:2]) * 60 + int(row['STTIME'][2:4]), axis=1)
df['Time Difference'] = df['Time Difference'].diff().fillna(0).astype(int)

df
PRN	CL	MJD	STTIME	TRKL	ELV	AZTH	REFSV	SRSV	REFGPS	SRGPS	DSG	IOE	MDTR	SMDT	MDIO	SMDI	CK	Time Difference
0	18	FF	60309	001400	780	596	1841	15198739	25	-1344	124	157	173	92	7	174	19	66	0
1	23	FF	60309	003000	780	545	487	8738708	8	-1267	-61	77	217	98	-5	191	-3	04	16
2	23	FF	60309	004600	780	586	622	8738633	20	-1273	-49	71	217	93	-3	189	0	06	16
3	23	FF	60309	010200	780	609	787	8738550	65	-1286	-7	60	217	91	-1	191	3	F2	16
4	23	FF	60309	011800	780	609	964	8738537	-138	-1257	-211	198	217	91	1	196	8	4D	16

for example if MJD and STTIME in turnover day
60309	235400
60310	1000 that's mean 00.10.00 so the difference is still 16