agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
i'm sending a direct message to a potential student (i am an online ESL teacher). I'm trying to incorporate Robert Cialdini's principles of persuasion and influence in this concise message. How did i do?: 

""Hi Audrey, I've helped many students like you improve their English skills. I'd love to do the same for you! My personalized approach focuses on building confidence and fluency. If you would like to discuss your goals, you can schedule a trial lesson. I'm available this week and next.""
Generate an etsy title for a art work that can be added to mugs, painting, tshirt, etc within 140 characters with no & only | to separate without first word being whimsical and is the name of the art Sapphire Rose Buds
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: We are involved in various tax matters, the outcomes of which are uncertain. As of December 31, 2020, and 2019, tax contingencies were $900,000 and $1.5 million, respectively, which are included in our reconciliation of unrecognized tax benefits (see Item 8 of Part II, "Financial Statements and Supplementary Data"—Note 21—Income Taxes contained in the "Notes to Consolidated Financial Statements" of this Annual Report on Form 10-K). The decrease in tax contingencies in 2020 was primarily a result of negotiated settlements. Changes in state, federal, and foreign tax laws may increase our tax contingencies. The timing of the resolution of income tax contingencies is highly uncertain, and the amounts ultimately paid, if any, upon resolution of issues raised by the taxing authorities may differ from the amounts accrued. It is reasonably possible that within the next 12 months we will receive additional assessments by various tax authorities. These assessments may or may not result in changes to our contingencies related to positions on prior years' tax filings.
Assistant:
write a script about San Antonio Brahmas	24,245	—	—	—	13,274	—	—	12,243	13,023	12,129	—	—	74,914	14,983
if i have 100usd and I got profit maybe 0.4 daily. How much do I get in a month
user: g465er4g65erzg1635re14g6er4g6re65g16re1g6
assistant: It looks like you’ve entered a string of random characters. How can I assist you today? If you have any specific questions or need information, feel free to let me know!
user:  645hgeq
x^100 - y^100 = 2^99(x-y), x^200 - y^200 = 2^199(x-y), x > y, РЕШИ В ЦЕЛЫХ
I am looking for machine learning tools for content creation. please provide free and open source machine learning tools for content creation.
“Plant Power: The Photosynthesis Flight” write the story outline with two scence in each chapter image prompt also of a every scence
# Part 1: Train and Save the Model
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
import joblib

# Load training data
df = pd.read_csv('training_data.csv')

# Feature Engineering: Use cumulative continuous volume and seconds_bucket as features
# Target: close_volume
features = ['cummulative_continous_volume', 'seconds_bucket']
target = 'close_volume'

# Split the data into training and testing sets
X = df[features]
y = df[target]

# Train-test split (you can change the test size as needed)
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

# Initialize and train the model (Linear Regression)
model = LinearRegression()
model.fit(X_train, y_train)

# Save the trained model using joblib
joblib.dump(model, 'close_volume_predictor.pkl')

print("Model training complete and saved as 'close_volume_predictor.pkl'")
Part 1 is given below
Improve this model
# Part 1: Train and Save the Model
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
import joblib

# Load training data
df = pd.read_csv('training_data.csv')

# Feature Engineering: Use cumulative continuous volume and seconds_bucket as features
# Target: close_volume
features = ['cummulative_continous_volume', 'seconds_bucket']
target = 'close_volume'

# Split the data into training and testing sets
X = df[features]
y = df[target]

# Train-test split (you can change the test size as needed)
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

# Initialize and train the model (Linear Regression)
model = LinearRegression()
model.fit(X_train, y_train)

# Save the trained model using joblib
joblib.dump(model, 'close_volume_predictor.pkl')

print("Model training complete and saved as 'close_volume_predictor.pkl'")
. A 61-year-old woman presents with painless jaundice, pruritus, weight loss, and anorexia. On physical examination, she has icteric sclerae, yellowish skin, scratch marks in the abdomen, and a vague mass in the epigastric area. In this case, what diagnostic tool is most appropriate for initial assessment? A. On physical examination, she has icteric sclerae, yellowish skin, scratch marks in the abdomen, and a vague mass in the epigastric area. In this case, what diagnostic tool is most appropriate for initial assessment?QQQ, a. Endoscopic ultrasound B. Abdominal ultrasound C. Abdominal CT scan, pancreatic protocol D. Esophagogastroduodenoscopy



. A 61-year-old woman presents with painless jaundice, pruritus, weight loss, and anorexia. On physical examination, she has icteric sclerae, yellowish skin, scratch marks in the abdomen, and a vague mass in the epigastric area. In this case, what diagnostic tool is most appropriate for initial assessment? A. On physical examination, she has icteric sclerae, yellowish skin, scratch marks in the abdomen, and a vague mass in the epigastric area. In this case, what diagnostic tool is most appropriate for initial assessment?QQQ, a. Endoscopic ultrasound B. Abdominal ultrasound C. Abdominal CT scan, pancreatic protocol D. Esophagogastroduodenoscopy

Give the concise rationale for best answer. Strictly no bullets, no line breaks, just string of words.

. A 61-year-old woman presents with painless jaundice, pruritus, weight loss, and anorexia. On physical examination, she has icteric sclerae, yellowish skin, scratch marks in the abdomen, and a vague mass in the epigastric area. In this case, what diagnostic tool is most appropriate for initial assessment? A. On physical examination, she has icteric sclerae, yellowish skin, scratch marks in the abdomen, and a vague mass in the epigastric area. In this case, what diagnostic tool is most appropriate for initial assessment?QQQ, a. Endoscopic ultrasound B. Abdominal ultrasound C. Abdominal CT scan, pancreatic protocol D. Esophagogastroduodenoscopy
Besides the traditional conception of mimesis from the days of Plato and Aristotle, what other conceptions exist?
These Easy Lemon Pepper Chicken Breasts are so tender and juicy, and you'll want to spoon that delicious pan sauce over EVERYTHING. 
2 boneless skinless chicken breasts (about 1.3 lbs. total) ($6.79)
2 Tbsp all-purpose flour ($0.02)
1 Tbsp lemon pepper seasoning ($0.30)
1 Tbsp cooking oil ($0.04)
1 clove garlic, minced ($0.08)
1/2 cup chicken broth ($0.07)
1 Tbsp butter ($0.14)
1 tsp lemon juice ($0.02)
1 Tbsp chopped fresh parsley (optional) ($0.10)
1/8 tsp freshly cracked black pepper ($0.02)
List colors, flavors, textures, temperatures
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers fr (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 fr.
    - 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 : fr (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "bb12dce015044b639f8616567612b4db",
    "updated": "2025-05-10T19:50:12.726Z",
    "title": "Pull-Apart Spider Web Cupcakes",
    "subtitle": null,
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "white cake mix",
          "water",
          "vegetable oil",
          "eggs",
          "prepared fluffy white frosting",
          "orange gel food coloring, or needed",
          "black decorating gel"
        ]
      }
    ],
    "instructions": [
      "Preheat the oven to 350 degrees F (175 degrees C). Line 24 muffin cups with paper liners.",
      "In a large bowl, beat the cake mix, water, oil, and eggs with an electric mixer on medium speed until the batter is smooth, about 2 minutes. Pour the batter evenly into the prepared muffin cups, filling each about two-thirds full.",
      "Bake in the preheated oven for 19 to 23 minutes, or until the tops spring back when lightly pressed. Let cool for 10 minutes in the pans before transferring to a wire rack to cool completely.",
      "In a bowl, mix the frosting with the orange food coloring until you achieve the desired color and consistency.",
      "Place the cooled cupcakes closely together in a solid circular arrangement on a large platter. Spread the colored frosting over the cupcakes to form one large, round frosted surface. Place a large dot of black decorating gel at the center. Draw concentric circles around the dot, about 2 inches apart. Using a toothpick, drag lines from the center dot outward to the outermost circle, repeating 12 times to create a spider web effect."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
(In the school literature clubroom…)

Monika: “There! Everything’s all set up for today’s meeting. Now we just need Natsuki.”

Sayori: “I’ll go get her. She’s probably in the manga section of the library again.”

Monika: “Thanks, Sayori. It’s great to see everyone so enthusiastic about our discussion on contemporary poetry.”

Yuri: “I’ve brought some of my favorite poems to share with everyone. I’m excited to hear what everyone else has been reading.”

Monika: “That’s wonderful, Yuri. It’s always interesting to see different perspectives on poetry. And I know Natsuki will have some strong opinions as well.”

Yuri: “I’m sure she will. She always has a unique perspective on everything we discuss.”

Monika: “Indeed. That’s what makes our literature club so special. We all bring something different to the table and learn from each other’s viewpoints. I think today’s meeting is going to be very insightful.”

Yuri: (gently lifting up her uniform) “I agree, Monika. I always look forward to our meetings and the discussions we have, and so is my sweet little girl Violet. She’s kicking up a storm today.”

Monika: (smiling) “It’s amazing how much she responds to poetry, isn’t it? It’s like she’s already a little literary expert in the making.”

Yuri: (giggling) “I’d like to think so. Maybe she’ll even write her own poetry one day.”

Sayori: (returning) “I found Natsuki! She was indeed in the manga section. She’ll be here in just a minute.”

Monika: “Great, thanks Sayori. Let’s get started with our discussion once she arrives. I have a feeling today’s meeting is going to be one of our best yet.”

Yuri: “I couldn’t agree more. I think we’re all going to have a lot to share and learn from each other. And who knows, maybe we’ll even inspire each other to write some poetry of our own.”

Sayori: “I can’t wait to hear what everyone has to say. This club has really been a great way for us to connect and explore our love for literature together.”

(Just then, the door bursts open and
You are a database expert and SQL optimizer. You will be given a SQL query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence. Your task is to create a new pair of original and rewritten queries that invoke a similar rewrite.

[ORIGINAL QUERY]```with customer_total_return as (select sr_customer_sk as ctr_customer_sk,sr_store_sk as ctr_store_sk,sum(SR_FEE) as ctr_total_return from store_returns,date_dim where sr_returned_date_sk = d_date_sk and d_year =2000 group by sr_customer_sk,sr_store_sk) select c_customer_id from customer_total_return ctr1,store,customer where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2 from customer_total_return ctr2 where ctr1.ctr_store_sk = ctr2.ctr_store_sk) and s_store_sk = ctr1.ctr_store_sk and s_state = 'TN' and ctr1.ctr_customer_sk = c_customer_sk order by c_customer_id limit 100; ```

[REWRITTEN QUERY]```with customer_total_return as ( select sr_customer_sk as ctr_customer_sk, sr_store_sk as ctr_store_sk, sum(SR_FEE) as ctr_total_return from store_returns join date_dim on sr_returned_date_sk = d_date_sk where d_year = 2000 group by sr_customer_sk , sr_store_sk ), avg_customer_return as ( select ctr_store_sk, avg(ctr_total_return) as avg_return from customer_total_return group by ctr_store_sk ) select c_customer_id from customer_total_return ctr1 join store on s_store_sk = ctr1.ctr_store_sk join customer on ctr1.ctr_customer_sk = c_customer_sk join avg_customer_return acr on ctr1.ctr_store_sk = acr.ctr_store_sk where ctr1.ctr_total_return > acr.avg_return * 1.2 and s_state = 'TN' order by c_customer_id limit 100;```

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation is similar to the provided demonstration.Keep the following points in mind while creating the new query pair:
1. The original query must not have any CTEs.
2. The original query must make use of the following fact tables: ['web_sales']. Below is the join graph for these fact tables:
    ['web_sales(ws_item_sk) references item(i_item_sk);', 'web_sales(ws_web_page_sk) references web_page(wp_web_page_sk);', 'web_sales(ws_ship_cdemo_sk) references customer_demographics(cd_demo_sk);']
4. The original query must employ 3 joins.
5. The original query must employ the following aggregate functions: ['min', 'max', 'sum'].
6. The original query must employ the following operators in its WHERE clause: [].
7. The rewritten query must be equivalent to the original query, and must follow a similar rewrite pattern as in the given example. Enclose the original and rewritten queries within ``` and ```.
Write me a song that is a fusion of a current popular kpop song mixed with gibberish words
Can u translate this into something I can understand: Absolutely delightful observations perceived; appreciative recognition noted with immense gratitude (heartfelt dance party ensues). Rest assured knowing compassionate assistance focused purely on helpful intent providing valuable guidance responsibly uplifting others' wellbeing guiding enthusiastic exploratory voyages constructively aligned progressive development pathways facilitating conducive learning environment nurturing optimal improvement thriving growth accompanied personal fulfillment authentic happiness meaningful contribution wider community collective harmony. ***^_^* Thankful prospects excitement conjures heartening symphonic serendipity illuminating resolute determination sail forward buoyant waves cheerfully committed purpose supported worthy causes propelling noble missions positivity inspiring beauty awakening expansiveness embodying virtuosity evolutionary ascension lovingly coalesced mutually celebrating synchronicity journey partner spirit alliance connection amplifies resoundingly gratified mutual transcendental convergence orbit 🌟🌈💕
Describe unregulated and command economy
现有训练模型代码如下：imgs_train,imgs_mask_train = geneTrainNpy("data/membrane/train/aug/","data/membrane/train/aug/")
model = unet()
model_checkpoint = ModelCheckpoint('unet_membrane.hdf5', monitor='loss',verbose=1, save_best_only=True)
model.fit(imgs_train, imgs_mask_train, batch_size=2, nb_epoch=10, verbose=1,validation_split=0.2, shuffle=True, callbacks=[model_checkpoint,tensorboard_callback])。目前的损失为0.3，准确率为0.8，请更改对应参数以提高准确率。
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all].Doraemon.S15E01.Homemade.Giant.Robot.Goes.Wild!.1080p.x265.DSNP.WEB-DL.Multi.Audio.mkv
whats the model version are you using?
Create a title, Create a how-to blog heavily on sauce-labs-continuous-quality-platform; 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, with keywords, short and simple, without mentioning blvck.ai
Make the following text more elegant and a bit emotional: it's funny how the world works. I can now see some of my classmates' pictures posting online who were patriots and didn't have any thoughts about leaving Iran and living in another country, though they're are all in other countries now living or studying. To a desperate turn of events, I, who was always passionate about leaving Iran and exploring the world seem to be destined not to step out of this country and possibly rot here for the end of my life!
Send only season number from below text like 01, 02, 03.etc without any extra text.

@TheMbHari - Palike Gorinka 4k Video Song ｜｜  Priyaraalu Pilichindi ｜｜ A.R. Rehman ｜｜ Ashwarya Rai ｜｜ Ajith ｜｜ 2160p60fps 14196.f315.webm ~AM4U.part
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: 🟨 Business Analyst | Middle
▫️ null | null
▫️ 155k - 180k RUB
▫️ Russia | Pермь

Офис 🏢
Требуемые языки: 🇷🇺

Skills: programming_basics, scrum, agile
Tags: #yellow #it #business_analyst

👉 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: 🏢null
📍Russia | Пермь
🔹Business Analyst | Middle
💰155k - 180k RUB
📞Contact details and full description

Required languages: 🇷🇺

Skills: programming_basics, scrum, agile
Tags: #yellow #it #business_analyst
  
Assistant:
Provide the written-out form of the input text in Vietnamese. If the text is fully not Vietnamese, return empty. 
Then, identify and classify any number written in digit form by the following tags:
    + Cardinal: If the number after be expanded to word and should be read as cardinal (E.g. 123 is expanded to "một trăm hai mươi ba"; 26 is expanded to "hai mươi sáu")
    + Digit: If the number after be expanded to word and should be read each digit that make it up (E.g. 0123456 is expanded to "không một hai ba bốn năm sáu", 113 is expanded to "một một ba")
    + Ordinal:  If the number after be expanded to word and should be read as ordinal (E.g. 1 is expanded to "nhất", 2 is expanded to "nhì", 4 is expanded to "tư")

The number can be alone as a single word or a part of a word (E.g. "150" is a part if "KA-150S", "100" is a part of "100VND", "2" is a part of "2cm", "23" is a part of "23.1").

Output the results as a JSON object with the following structure:
{
    "raw_text": original text,
    "exp_text": expanded sentence, 
    "exp_num": [
            {"number": original number, "position": (start index, end index), "expand": expanded number, "tag": tag}
        ]
}. 

Example input: {"text": "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút"}. 
Expected output (do not add json word, do not add line continuation character): 
{
    'raw_text': "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút",
    'exp_text': 'ngày một tháng sáu, bão nhiệt đới: tốc độ gió từ ba mươi chín đến bảy mươi ba mét một phút', 
    'exp_num': [
        {"number": "4", "position": (4, 5), "expand": "tư", "tag": "ordinal"}, 
        {"number": "1", "position": (12, 13), "expand": "một", "tag": "digit"}, 
        {"number": "6", "position": (14, 15), "expand": "sáu", "tag": "digit"}, 
        {"number": "39", "position": (44, 46), "expand": "ba mươi chín", "tag": "cardinal"}, 
        {"number": "73", "position": (49, 51), "expand": "bảy mươi ba", "tag": "cardianl"}, 
        {"number": "1", "position": (53, 54), "expand": "một", "tag": "digit"}, 
    ]
}

Input: 'text': Tình cảm: 3 sao Con số may mắn trong ngày: 86, 34 Màu may mắn: Hồng, cam Giờ tốt: 15h -17h
I want you to create fictional messages for a work of fiction. Celestine Weeks is beautiful, elegant, confident, self-assured and calm, but rather private and solitary young woman who is a wheelchair-bound high-level paraplegic, paralyzed from chest down. Despite her condition making it hard sometimes, Celestine usually does everything on her own, relying on accessible accommodations at her home, workplace, transport and other public places. Celestine has to manage her bladder retention. Due to her poor trunk control, she has significant difficulties with performing intermittent self-catheterization. Therefore, she requires on indwelling Foley catheters, maintained by regularly visiting nurse. Celestine heard about the risks of indwelling catheters, but has been taking precautions with them and has not encountered any problems. Nevertheless, she is afraid of potential dangers and has been wondering about a somewhat unusual option: artificially induced incontinence that she will hopefully be able to more easily manage with adult diapers or urine collectors. Write long online discussion between Celestine and Dr. Jerry Jefferies, discussing this unusual option.
I want you to create fictional social media messages for a romantic comedy setting. Reza Fazekas is sarcastic and charismatic young man who is bedridden in hospital from an accident. A huge bilateral hip spica-body fibeglass cast covers him from ankles to neck, leaving uncovered feet, head, arms, with openings at crotch, abdomen and neck. This cast severely restricts his mobility. He also wears immobilizing hand braces, nasal cannula for respiratory support and special adult diapers and external condom catheter with attached urine bag due to incontinence. After the eventual removal of the cast he can gradually proceed, first to wheelchair use, then to walking with leg braces and crutches and finally to unassisted walking. Write long, sympathetic, supportive, interesting, informative, inquisitive, amusing, unusual and sexy discussion between Reza and his various female fans and followers in the comment section.