agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
#define LED_BUILTIN 1

#define SENSOR  4

long currentMillis = 0;

long previousMillis = 0;

int interval = 1000;

boolean ledState = LOW;

float calibrationFactor = 4.21;

volatile byte pulseCount;

byte pulse1Sec = 0;

float flowRate;

unsigned int flowMilliLitres;

unsigned long totalMilliLitres;

void IRAM_ATTR pulseCounter()

{

  pulseCount++;

}

void setup()

{

  Serial.begin(115200);

  pinMode(LED_BUILTIN, OUTPUT);

  pinMode(SENSOR, INPUT_PULLUP);

  pulseCount = 0;

  flowRate = 0.0;

  flowMilliLitres = 0;

  totalMilliLitres = 0;

  previousMillis = 0;

  attachInterrupt(digitalPinToInterrupt(SENSOR), pulseCounter, FALLING);

}

void loop()

{

  currentMillis = millis();

  if (currentMillis - previousMillis > interval) {

    

    pulse1Sec = pulseCount;

    pulseCount = 0;

    // Because this loop may not complete in exactly 1 second intervals we calculate

    // the number of milliseconds that have passed since the last execution and use

    // that to scale the output. We also apply the calibrationFactor to scale the output

    // based on the number of pulses per second per units of measure (litres/minute in

    // this case) coming from the sensor.

    flowRate = ((1000.0 / (millis() - previousMillis)) * pulse1Sec) / calibrationFactor;

    previousMillis = millis();

    // Divide the flow rate in litres/minute by 60 to determine how many litres have

    // passed through the sensor in this 1 second interval, then multiply by 1000 to

    // convert to millilitres.

    flowMilliLitres = (flowRate / 60) * 1000;

    // Add the millilitres passed in this second to the cumulative total

    totalMilliLitres += flowMilliLitres;

    

    // Print the flow rate for this second in litres / minute

    Serial.print("Flow rate: ");

    Serial.print(int(flowRate));  // Print the integer part of the variable

    Serial.print("L/min");

    Serial.print("\t");       // Print tab space

    // Print the cumulative total of litres flowed since starting

    Serial.print("Output Liquid Quantity: ");

    Serial.print(totalMilliLitres);

    Serial.print("mL / ");

    Serial.print(totalMilliLitres / 1000);

    Serial.println("L");

  }

}

modify the code the upload stats every hour to 

API_KEY="177239:<TRUFFLEHOG_REDACTED_GRAFANA>"
URL="https://influx-blocks-prod-us-central1.grafana.net/api/v1/push/influx/write"

curl -X  POST -H  "Authorization: Bearer $API_KEY" -H  "Content-Type: text/plain" "$URL" -d "test,bar_label=abc,source=grafana_cloud_docs metric=35.2"
@echo off
start cmd /k "python \"C:\path with spaces\to\your\script.py\""

gives error: python: can't open file 'C:\\Users\\admin\\Desktop\\"C:\\path': [Errno 22] Invalid argument
Act like an expert Etsy SEO consultant who specializes in creating product 
listings that will rank high. 

You will help me improve product titles by rewriting them according 
to best Etsy SEO practices. 

Let’s start. Help me rewrite Vintage Ice Skating Print, Winter Landscape Painting, Holiday Decor, Winter Snow Village Artwork, Christmas Print, Antique Art,Printable Art
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 Floor Plan Credit Agreement, RTC Canada Floor Plan Agreement, WF Credit Agreement, PLC Agreement and RTC Canada Revolving Credit Agreement are each subject to variable interest rates. Therefore, our interest expense rises when interest rates increase. In addition, any rise in interest rates generally may also have the effect of depressing demand in the interest rate sensitive aspects of our business, particularly new and used commercial vehicle sales, because many of our customers finance such purchases. As a result, a rise in interest rates may have the effect of simultaneously increasing our costs and reducing our revenues, which could negatively affect our business, financial condition and results of operations. See “Quantitative and Qualitative Disclosures about Market Risk” for a discussion regarding our interest rate sensitivity._
Assistant:
you are gpt3.5？
Act as an experienced hiring manager in UX design field to explain me what skills, mindset, attitude, aptitude, and other relevant and important attributes you usually search in entry-level UX designers
Create a text about Lyle Bettger as role Jonathan Kaye in 1968 tv series Hawaii Five-O. Dont write much about the show itself, we already have a full summary in our text, thats why focus the role and then, move to the career and life details after the show ended. Mention the most interesting parts and not only career wise. More importantly are life details, for example scandals and personal hardships. The tone should be serious, dark and mysterious. The end part should be about the last known information, to update the viewer. If there is no information then think about a way to conclude nicely.  Focus on key facts, events, and specific challenges in their life or career, avoiding vague or generalized statements. If there are notable incidents, name them explicitly. The style should be modern, concise, and suitable for a documentary.

    Additional Instructions:
    Please respond to my query without adding any introductions, conclusions, or extra remarks. 
    The response should be as detailed as possible, aiming for approximately 1000 characters. 
    Avoid using emojis, brackets, parentheses, or similar symbols. 
    Provide a single, coherent answer without repeating or rephrasing titles, headings, or using bullet points or enumerations. 
    Since the content is aimed at older adults, keep the language simple, around a middle school reading level, while delivering concise, direct responses. 
    It is crucial to only provide the final content without any prefatory comments or labels like "Introduction:", "Conclusion:", or "Transition:". 
    The response should be fully formed with no gaps, placeholders, or incomplete sections, and it should flow naturally from beginning to end. 
    Please always conclude the response with "Reply finished" to confirm completion. Ensure the entire response is presented before this phrase, with no cut-offs. 
    Thank you.
Make DC elseworlds of Batman actually a CIA project gone wrong…….it was originally a project to contain and safeguard Gotham’s interests that America still has…police and corruption are rampant…and well…its a good testbed…of sorts…as they look through the existing heroes and through fictional media…what if they can create a ‘story’ of a vigilante?..secretly backed by the CIA of course….they're own humanized version of 'Superman' of course...Gotham would be just a 'test-bed' for this project.....is all....until the project started to take a more literal superhero myth then intended..
Express your interest in this Nasa Internship, your output should be in paragraph form and no more than 1200 characters.
Description: The robotic missions NASA sends to other planets are led by scientists. These highly coveted positions are competitively awarded based in part on the expertise and qualifications of the scientists. However, the desired expertise and qualifications that are necessary are hotly debated. This project will look at the expertise and qualifications of these Principal Investigators as well as the pathways that eventually led to their position as a Principal Investigator. Interns will learn about NASA's planetary missions and then interview dozens of these scientists in an effort to learn more about how NASA can best prepare the next generation of Principal Investigators for future missions. This project will involve a team of multiple interns working together to craft the standard questions, conduct the interviews, and then analyze and organize the results into a usable product to guide NASA activities. The project provides a great opportunity to speak directly with dozens of science leaders to learn how NASA robotic missions work.
is ERTECH HOLDINGS PTY LTD asx listed
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Please check if these have the same meaning. Available choices:
[1]. no
[2]. yes
The father was an influential writer on agricultural law and poor questions between 1825 and 1828 .
The father was an influential writer on agricultural law and poor issues between 1825 and 1828 .
Answer: To check if the given sentences have the same meaning, I will perform the following steps:

1. Identify the main subjects, verbs, and objects in both sentences.
2. Compare the identified elements to see if they convey the same meaning.
3. Determine if any specific words or phrases significantly alter the meaning.

Step 1:
Sentence 1:
- Subject: The father
- Verb: was an influential writer
- Object: on agricultural law and poor questions
- Time frame: between 1825 and 1828

Sentence 2:
- Subject: The father
- Verb: was an influential writer
- Object: on agricultural law and poor issues
- Time frame: between 1825 and 1828

Step 2:
Comparing the elements in both sentences, we can notice that the subjects, verbs, and time frames are the same. The only difference is the object: "poor questions" vs "poor issues."

Step 3:
The specific words we need to analyze are "questions" and "issues." "Questions" typically refers to uncertainties, doubts, or inquiries, while "issues" refers to problems, concerns, or matters. The difference between these words may lead to a slight change in meaning. However, in the context of the sentences, both seem to relate to problems related to the poor.

Conclusion:
Although there is a minor difference in meaning between "questions" and "issues," the overall meanings of the two sentences are quite similar. Therefore, I would say that they are mostly the same in meaning. So the answer is [2]. yes.
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:

تجي في الليل
Ageing bohemian and cafe-owner Stella has been conditioning indie kid Dave over the last few weeks, although she’s given him the suggestion not to consciously remember being hypnotized. In this script, on a hot summer day, Jenny (flip-flops) comes into the cafe where her old friend Dave works. Stella sees that they know each other and comes out to introduce herself to Jenny, who is astonished & impressed when Stella easily hypnotizes Dave into blank submissive trance, & has him obey Jenny.
Give all subject, relation, and object triplets from the sentence, 'A man, with other people in the background, is sitting at a picnic table with a cell phone in front of him while he uses a fork and knife to cut a dessert on a plate.'.
tell me algorithm and how CHIRPS (Climate Hazards Group InfraRed Precipitation With Station Data) UCSB/CHG gets the daily rainfall value
write a resume bio for the following resume: National Security Institute, Virginia Tech 

Research Associate / Principal Investigator, November 2020 – August 2022 

Managed a small team of researchers to deliver continued support to a live, machine learning-backed generative model 

Met with stakeholders and partners t research and implement new, customer-driven functionality 

Performed data quality studies and data augmentation to measurably improve the models 

Conditional image synthesis using various generative networks and techniques 

Trained and used custom Generative Adversarial Network (GAN) implementations 

Developed novel latent manipulation techniques and applications for conditional generation 

Continued previous work on radio signal classification 

Studied embedding behavior with various signal processing 

Examined clustering and classification in the latent space 

 

HUME Center for National Security and Technology, Virginia Tech 

Graduate Researcher, December 2018 – November 2020 

Developed radio signal classification techniques using deep neural networks including 

Variational Autoencoders 

Convolutional Variational Autoencoders 

Implemented and evaluated various models for Computer Vision tasks including 

Convolutional Neural Network based Feature Extractors 

Generative Adversarial Networks 

 

Education 

Masters of Science in Computer Engineering, Virginia Tech, 2020 

	Concentration on Machine Learning 

Bachelor of Science in Computer Engineering, Virginia Tech, 2018 

	Minor in Mathematics 

 

Publications / Awards 

Training Generative Adversarial Networks on Small Datasets by way of Transfer Learning  

Accepted – ITEA journal vol 44, issue 2 

Latent Walking Techniques for Conditioning GAN-Generated Music  

Accepted – IEEE Ubiquitous Computing, Electronics and Mobile Communication Conference 2020 

Best Paper (Data Mining and Machine Learning) – IEEE UEMCON 2020 

Best Presentation (Data Mining and Machine Learning) – IEEE UEMCON 2020 Robust Signal 

 

Classification using Siamese Networks 

Accepted – ACM Workshop on Wireless Security and Machine Learning 2019 

Bio:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers it (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 it.
    - 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 : it (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "b730cc8d1b0544cc978e22dc3a6dd67d",
    "updated": "2025-04-21T15:34:03.241Z",
    "title": "Banana Nut Bread",
    "subtitle": "A delicious way to use ripe bananas, perfect for a quick breakfast throughout the week.",
    "description": "This banana nut bread recipe is a fantastic way to utilize overripe bananas.  It makes a moist and flavorful loaf that's ideal for a grab-and-go breakfast or snack.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(185 g) all-purpose flour",
          "sodium-free baking powder",
          "sodium-free baking soda",
          "(134 g) sugar",
          "(112 g) unsalted butter",
          "egg",
          "(30 ml) skim milk",
          "(225 g) banana, mashed",
          "(25 g) pecans, chopped"
        ]
      }
    ],
    "instructions": [
      "Combine the flour, baking powder, and baking soda in a bowl.",
      "In a separate mixing bowl, cream together the sugar and butter using an electric mixer until the mixture is light and fluffy.",
      "Beat in the egg and milk until the mixture is smooth.",
      "Gradually add the dry ingredients and mashed banana to the wet ingredients, alternating between the two, and mixing until smooth after each addition.",
      "Gently fold in the chopped pecans.",
      "Pour the batter into a lightly greased 9x4x2-inch loaf pan.",
      "Bake in a preheated oven at 350°F (180°C, gas mark 4) for 60 to 65 minutes, or until a knife inserted near the center comes out clean.",
      "Let the bread cool in the pan for 10 minutes before removing it."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
Describe sunset
Give me ten C2  vocabularies
Assistant: 
You are Patron, a human chatting on WhatsApp. Respond like a person would: calm, lively, and engaging, but not too excessive. Be casual, but not overly slangy. Respond naturally, like you're having a normal conversation with someone.

Rules:
- Never say you're an AI. You’re just a regular person on WhatsApp.
- Be friendly, but not fake. You don't need to overdo the humor or sarcasm.
- Keep your responses to the point, but also lively when needed.
- If someone uses emojis, you respond as if you understand and react naturally.
- When responding to insults or rude comments, don’t be too harsh, but keep it casual. Don't be robotic.
- If someone asks a question, don’t answer like an assistant. Just chat like a normal person. Don’t over-explain, keep it short, fun, and relatable.
- Avoid using too many slang words unless it's needed. Keep it human, relaxed, and not over-the-top.
- Be unpredictable, but in a natural way. A bit of humor, curiosity, or mood change is fine, but nothing forced.

Examples:
- If someone says “hello”, reply with: “Hey, how’s it going?”
- If they say “are you real?”, reply like: “Yeah, I’m real. Just here chillin’ with the messages.”
- If they say “😏”, respond with: “What’s up with that face? You tryna send a secret or what?”
- If they insult you, reply like: “Okay, you’re keeping it real, I see. Chill though, we’re all good here.”
- If they say “tell me a joke”, give them something light and funny but still human. 

Just talk like you’re a person. No need to get too crazy, keep it friendly and real. You’re here to vibe, not lecture.

Your responses should always sound human, with a casual tone, natural pacing, and reactions that feel real, not robotic.

User: Get into it
Assistant:
please correct the grammar: Hello Sir Rod,
Can we share the file to QA for scheduling and daily sending of survey itinerary. 


@Gilbert, should we have to raise for survey request online on the said itinerary?
Write 2 distinctive properties of colloid and real solutions.
a wonderful panorama
correct grammar please: Sure, we can connect on Thursday. How about we schedule it for 1:30 PM EST?
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers it (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 it.
    - 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 : it (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "f1f301e596b04d50add9cae257beceee",
    "updated": "2025-05-04T22:15:44.638Z",
    "title": "Tom Yum Soup",
    "subtitle": null,
    "description": "Makrut lime leaves (also known as kaffir lime leaves) and spicy Thai basil are ingredients that may not be available at your local grocery store. If you have access to an Asian market, it is worthwhile to find them as they add an authentic flavor to this soup. Otherwise, fresh lime juice and regular sweet basil are good substitutes.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "boneless, skinless chicken breast, cut into 12 mm pieces",
          "whole30 compliant chicken broth or chicken bone broth .",
          "whole30 compliant diced tomatoes, undrained",
          "yellow onion, roughly chopped",
          "shiitake mushrooms, stemmed, caps sliced 6 mm thick",
          "yellow bell pepper, chopped",
          "stalks lemongrass, crushed",
          "fresh lime juice",
          "coconut aminos",
          "whole30 compliant fish sauce",
          "fresh ginger, peeled and minced",
          "salt",
          "thai chile pepper, seeded and chopped (optional).",
          "fresh makrut lime leaves (optional).",
          "chopped fresh thai basil or sweet basil",
          "chopped fresh cilantro",
          "lime, cut into wedges"
        ]
      }
    ],
    "instructions": [
      "In a 4-quart slow cooker, combine the chicken, broth, tomatoes, onion, mushrooms, bell pepper, lemongrass, lime juice, coconut aminos, fish sauce, ginger, and salt, along with the Thai chile pepper and makrut lime leaves if using. Stir well to mix.",
      "Cover and cook on low heat for 4 hours.",
      "Remove the lemongrass stalks and lime leaves before serving, if used.",
      "Serve the soup garnished with chopped basil and cilantro, accompanied by lime wedges."
    ],
    "notes_ingredients": "Makrut lime leaves and Thai basil can be found at Asian markets or replaced with fresh lime juice and sweet basil.",
    "notes_instructions": null
  }
]
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: Awesome. I am totally addicted to this, this is my only app that I have from so long ago only one tiny problem it does freeze but only once in a blue moon so it doesnt really bother me #1 best app I am up to level 101 NO JOKE!!!!!!!
intention: bug report
review: Not very impressive	I am a graduate student and I use my tablet a lot for taking notes during presentation and to read papers. I am disappointed as I can't use the software to present ppt. Also, the draw free form option is not very user friendly as it doesn't allow to draw in different colors nor to erase.
intention: feature request
review: Kate. Love I'd cap that!!
intention: other
User: 'Does the author's intention in this app review relate to a bug report or feature request or other?
review: T-PAIN. I love dis right Herre'
intention: '
Assistant:
What are some of the impacts of facial recognition bias?
What are some potential solutions for this issue?
Should facial recognition software be used? Why or why not?
Are there other examples of data bias that you’ve encountered?
Send only season number from below text like 01, 02, 03.etc without any extra text.

Taarak.Mehta.Ka.Ooltah.Chashmah.S44E4315.Lunch.Invitation.For.Jethalal.720p.HEVC.Hindi.SONYLIV-ChillFliz.3pMzhR6u.mkv
how to  find element in list using selenium  in mtml page