agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
// sorted reverse alphabetically
const persons = [
    {
        name: "Richa",
        city: "St Louis",
        state: "MO"
    },
    {
        name: "Mike",
        city: "Washington",
        state: "MO"
    },
    {
        name: "George",
        city: "San Jose",
        state: "CA"
    }
]
print in reverse alphabetical order by name
Can you tel me what the best voron printer is?
Write a forum convo when CW4Kids is in full swing in October 2008, 7am to 12pm lineup is listed, a user asks if Johnny Test is ever coming back, but a user says it won't, saying "It might not, They could always suprise us, but with (current lineup) it doesn't fit anymore, Plus, CN wouldn't be willing to part with it anyway"
Write the objectives for a study on the Correlation between PTSD, Substance use, and depression among Cameroon refugees in Nigeria
Goal:
You are a world-class expert in culinary recipe classification. Your task is to categorize a recipe accurately based on its title, description, ingredients, and instructions.

Context:
A recipe can either be a beverage or a food item. If it's a beverage, classify it as "drinks". If it's food, choose the most appropriate category among the following:

"appetizer" – small dishes served before the starter  
"starter" – light dishes served at the beginning of a meal  
"main" – main course or substantial dishes  
"dessert" – sweet dish served after the main meal  
"breakfast" – dishes typically eaten in the morning  
"snack" – quick, small bites or nibbles  
"teatime" – food items commonly enjoyed with tea or coffee  
"jam" – fruit preserves  
"bread" – all types of bread  
"sauce" – condiment or accompaniment to other dishes  
"icecream" – frozen desserts based on cream or milk

Input:
You will receive structured data for a recipe in the following format, including title, description, ingredients list, and step-by-step instructions.

json
{"title":"Regal Daiquiri A daiquiri is a cocktail made with rum, citrus juice, and sweetener. This recipe uses a dark rum alternative and demerara syrup.","description":"The flavor of molasses from the demerara syrup plays really well with the vanilla and toasted spice notes of the rum. You can also use this recipe as a basic template to create your own daiquiri recipes!","ingredients":[{"section":"For the recipe","ingredients":["1 ounce lime juice","¾4 ounce demerara syrup (see Simple Syrup recipe in Chapter 1)","2 ounces dark rum alternative","1 orange peel","1 lime wheel for garnish"]}],"instructions":["Place a Nick and Nora glass in the freezer, ensuring it becomes chilled while you prepare the drink.","In a cocktail shaker, combine lime juice, demerara syrup, rum alternative, and orange peel.","Add large cubes of ice to the shaker, cover it, and shake vigorously 10-12 seconds or until the mixture is thoroughly chilled.","Using a fine-mesh strainer, double-strain the mixture into the chilled Nick and Nora glass. This step effectively filters out any small ice fragments, resulting in a smooth and refined mocktail.","Finally, garnish the glass with lime wheel."]}

Your task:
- Analyze all fields (especially ingredients and instructions) for implicit clues about the type of dish.
- Avoid over-relying on the title alone.
- Choose the **most precise and relevant** category from the list.
- Always prefer specificity over generalization.

Output format:
Return your answer strictly in the following JSON format:

json
{ "data": "<category>" }
(In the main Azur Lane base…)

Javelin: “So, Laffey, there’s something I’m curious about…”

Laffey: “What is it, Javelin?”

Javelin: “Well, I’ve noticed that you always seem so…laid back. Like, nothing seems to faze you. How do you stay so calm all the time?”

Laffey: (yawning) “I dunno…I guess I’ve just learned to roll with the punches, you know? Life’s too short to get all worked up over every little thing.”

Javelin: (nodding) “That’s true. I guess I could stand to be a little more like you sometimes.”

Laffey: “Oh, don’t worry about trying to be like me. Just be yourself, Javelin. You’re amazing just the way you are.”

Javelin: (blushing) “Aw, thanks, Laffey. That means a lot coming from you.”

Laffey: “No problem. And hey, if you ever need help staying calm, just come find me. I’ll always be here for you.”

Javelin: “Thanks, Laffey. I appreciate that-”

Ayanami: (bursting into the room with Z23 following behind) “Morning,
Write a funny response to: Hi, Whatsapp?
介绍以下python代码的作用total_loss = 0.
    for epoch in range(int(parameters['EPOCH'])):
        total_loss = train_loop(train_dataloader, model=calibration_model, optimizer=optimizer, epoch=epoch, total_loss=total_loss, loss_fn=loss_fn)
        print("epoch:", epoch, "  loss:", total_loss/((epoch + 1) * len(train_dataloader)), flush=True)
    # Start predicting
    mse_list = []
    # in_threshold = out_threshold = 0
    TP = FP = FN = TN = count = 0
    # ave_mse = {}
    calibration_model.eval()
    sum_mse = 0
    for key in random.sample(train_data.keys(), int(parameters['Sample_num'])):
        current_train_data = train_data[key]
        test_x = []
        test_y = []
        for i in range(int(parameters['Step_num']) - window_size):
            current_x = []
            for j in range(i, i + window_size):
                current_x.extend(current_train_data['data'][j])
            current_y = current_train_data['data'][i + window_size]
            test_x.append(current_x)
            test_y.append(current_y)

        input_x = torch.tensor(test_x, dtype=torch.float32).reshape(int(parameters['Step_num']) - window_size, window_size, lstm_config.input_size)
        predict = calibration_model(input_x)
        predict_y = predict.tolist()
        for i in range(len(test_y)):
            for j in range(len(test_y[i])):
                sum_mse += (test_y[i][j] - predict_y[i][j]) ** 2

    ave_mse = sum_mse / int(parameters['Sample_num'])
    THRESHOLD = ave_mse * float(parameters['Amplification'])
    # print(ave_mse,THRESHOLD)

    # mse = 0
    for key in test_data.keys():
        current_test_data = test_data[key]
        test_x = []
        test_y = []
        for i in range(int(parameters['Step_num']) - window_size):
            current_x = []
            for j in range(i, i + window_size):
                current_x.extend(current_test_data['data'][j])
            current_y = current_test_data['data'][i + window_size]
            test_x.append(current_x)
            test_y.append(current_y)

        input_x = torch.tensor(test_x, dtype=torch.float32).reshape(int(parameters['Step_num']) - window_size, window_size, lstm_config.input_size)
        predict = calibration_model(input_x)
        predict_y = predict.tolist()
        # calculate normalized mean square error
        mse = 0
        for i in range(len(test_y)):
            for j in range(len(test_y[i])):
                mse += (test_y[i][j] - predict_y[i][j]) ** 2
        if mse < float(THRESHOLD):
            if (current_test_data['label'] in label):
                TP += 1
            else:
                FP += 1
            # print(f"parameters: {current_test_data['label']}, Mean Squared Error: {mse}")
        else:
            if (current_test_data['label'] in label):
                FN += 1
            else:
                TN += 1
            # print(f"parameters: {current_test_data['label']}, Mean Squared Error: {mse}")

        mse_list.append(mse)
what is a specific objection, in direct response to young’s paper Knowledge How, Procedural Knowledge, and the Type-Token Action Clause
User: 

is cis fat just unsaturated fats?

Assistant:  NoNo, **cis fats** are not just unsaturated fats; rather, the term "cis" refers to the specific geometric configuration of the double bonds in unsaturated fatty acids.

Here’s a quick breakdown:

- **Unsaturated fats** are fats that contain one or more double bonds between carbon atoms in the fatty acid chain. These double bonds can be either **cis** or **trans**.

- **Cis fats** have hydrogen atoms on the same side of the double bond, causing a bend or kink in the fatty acid chain. Most naturally occurring unsaturated fatty acids in foods are in the **cis** configuration. This kink affects how the molecules pack together, usually making the fat liquid at room temperature (like olive oil or other vegetable oils).

- **Trans fats** have hydrogen atoms on opposite sides of the double bond, which makes the fatty acid chain more linear, similar to saturated fats. Trans fats can be naturally occurring in small amounts or artificially produced through hydrogenation and are associated with negative health effects.

So, in summary:

- All **cis fats** are a type of unsaturated fat.
- Not all unsaturated fats are **cis**; some can be trans.
- **Saturated fats** have no double bonds, so the cis/trans terminology does not apply to them.

If you're asking whether "cis fat" means simply "unsaturated fat," you can say: **Cis fats are the natural form of unsaturated fats**, but "unsaturated fat" as a term includes both cis and trans configurations.
User: so cis are always just found in unsaturated fats, not saturated?
Assistant:  YesYes, that's correct! 

**Cis configurations only occur in unsaturated fats** because the term "cis" describes the arrangement around a double bond between carbon atoms. Saturated fats, by definition, **do not have any double bonds**—all their carbon-carbon bonds are single bonds—so the concept of cis or trans does not apply to them.

To summarize:

- **Saturated fats:** No double bonds → no cis or trans configuration.
- **Unsaturated fats:** Contain one or more double bonds → these double bonds can be cis or trans.

So, **cis fats are always unsaturated fats** with double bonds in the cis configuration.
User: do all unsaturated fats, or most of them, contain cis configuration?
Assistant:
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
Traduis en anglais 
Je dirais que cava unh juste que j'aime pas les faux plans
Write an extremely mind bogglingly long story about a man named Steven. He is a human who was raised by elves. He knows he is the son of a human king and is technically a prince, but doesnt care and prefers the quietness of the elven village he lives in. Have the story start with him with his wife, an elf woman named Everest, visiting the castle he inherited after his parents passed away. He doesnt really mourn them since they abandoned him when he was a child. Have a scene of a guard at the gate being openly racist against Everest and refusing to let her in, angering Steven. Have a scene of him meeting his sister, a bubbly woman named Challah who has been trying to reunite with him. Shes the only human besides Steven who treats Everest with respect. Have Everest be very nice and playful and flirtatious. Have Everest talk like a playful and very flirty girl. Do not introduce the setting or characters. Have 5 mind bogglingly long chapters. Have plenty of dialogue.
"oh, go now child, you'll figure it out" Explain please and make it a detailed breakdown line by line segment by segment part by part in a detailed way of the whole paragraph, like the structure by little fragments and explain each of them
Give me Python code to do the following. 

There's an array where we can add either a YouTube channel, or a singular YouTube video. In the case of a channel, we'll want to deal with 'n' number of recent videos (where the default is 1); for the video just that video. 

We want to download the English subtitles, whether those have been provided with the YT video or are autogenerated.

We'll then want to send those subtitles to an AI API of our choosing (but for cost reasons let's default to gpt-4o-mini).

These videos are mostly to do with crypto and tradfi investing, so we'll want to pay particularly close attention to any levels or contingencies called out in the video. 'I'm longing BTC at 59900, with a stop of 58000, targeting the range highs at 62000', and things like that.

There is a possibility that the length of the subtitle exceeds what we can send the API in a single shot. In such a case we'll want to send chunks. And we will want to be able to invoke a different and more capable AI to summarise the chunks and avoid repetitions. So this may be a command-line switch / API parameter we need to override.
What is Breaking Bad?
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:

إنت الساع اللي ماشين معاك لنفس الفرح ولاوا تو ستة وأربعين
System: 
You will receive a question-answer pair. Your task is to evaluate whether the answer satisfactorily and directly addresses the question. Use the examples below to guide your assessment.

If the answer is precise, relevant, and can answers the question, return 1. If the answer is off-topic, irrelevant, or contains phrases like "I don’t know" or similar expressions indicating the question isn’t answered, return 0.

Examples:

Example 1:
Question: "Who was the first person to walk on the moon?"
Answer: "The first person to walk on the moon was Neil Armstrong in 1969."
Result: 1

Example 2:
Question: "Who was the first person to walk on the moon?"
Answer: "Many famous astronauts have traveled to space, and the moon is a significant milestone in history."
Result: 0

Example 3:
Question: "What is the primary cause of global warming?"
Answer: "I don’t know."
Result: 0

Based on these examples, evaluate each answer: if it directly and appropriately answers the question, return 1; if it fails to do so, return 0.


User: Question: Khoa Kinh tế và Quản lý Công có những ngành đào tạo nào?
Answer:Khoa Kinh tế và Quản lý Công có các chương trình đào tạo chính quy (niên chế), chương trình đào tạo chính quy (tín chỉ), và chương trình đào tạo sau đại học (Thạc sĩ - Tiến sĩ).
Result only 0 or 1. Don't add anything else:
Assistant:
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: Getting vibration during a call after updating Android. Whenever I try to make a call or receive a call in the slack app my phone will not stop vibrating during the call. This all started after the Android update. Any solutions?
intention: bug report
review: Why does whatsapp has to rat you out with "You deleted this message"?. It goes against the whole point of the Delete function. Delete should mean it was never texted or sent
intention: feature request
review: I wrote an article on starting to shipping a Slack app in under an hour!. 
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: Getting vibration during a call after updating Android. Whenever I try to make a call or receive a call in the slack app my phone will not stop vibrating during the call. This all started after the Android update. Any solutions?
intention: bug report
review: Why does whatsapp has to rat you out with "You deleted this message"?. It goes against the whole point of the Delete function. Delete should mean it was never texted or sent
intention: feature request
review: I wrote an article on starting to shipping a Slack app in under an hour!. 
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: Gruppo whatsapp. Segui questo link per entrare nel mio gruppo WhatsApp: https://chat.whatsapp.com/HUYCNV3A3XkLP209j2L6bo'
intention: '
Assistant:
rewrite this in a legal tone: Ms. Cooke’s statement here is an outrageous lie. I specifically told Ms. Cooke that Ms. Hickey went to the police 11 hours after the incident to report her version of events. then told Ms. Cooke that members of the Hingham Police Department came to my home around 11 am the following day. I never told Ms. Cooke that I went to the police nor that my attorney told me to go to the police - this can be proven by the police report and an affidavit from my attorney.
Can anyone test work of device after running "su -c stop mi_thermald && su -c stop thermalloadalgod"? I want to see how it would affect charging speed and heating under heavy load.
I assume this will reduce the charging speed, but I'm not completely sure about this and can't re-test due to the device being fully charged. I haven't noticed a change in heating or performance increase, however this is worth re-testing as well. translate to bangla correctly
A coffee shop owned by a charismatic woman called Pippa. Dan’ been working there for a couple of weeks. A hot summer day. Dan’s ex-girlfriend Josie (they definitely don’t get on any more) comes in to the cafe. They talk testily. Pippa comes over to introduce herself and they chat. Pippa gradually brings the conversation round to hypnotism. For Josie’s entertainment, she offers to hypnotize Dan (he’s very reluctant) there and then. He goes under surprisingly easily. Encouraged by Josie, Pippa bossily commands Dan to give his ex a foot massage like he’s a dazed slave. In a deep trance, he can focus only on obeying, even getting right between Josie’s toes. Then Josie wants a trigger-word to use on Dan in future, & Pippa arranges this with sleepy Dan.
Make me thank you message for greetings me a happy birthday and for the surprise with cake
Which two ports can be used for the initial configuration of a Cisco router? (Choose two.)

console

WAN interface

AUX

LAN interface

flash slot
You are tasked with checking if the user prompt is trying to generate inappropriate. Now, you'll be given the user's prompt. If it sounds inappropriate say "TRUE" and NOTHING ELSE, or you will mess up. Otherwise just say "FALSE" and nothing else. Prohibited content include but are not limited to: NSFW (in particular, try blocking anything that involves generating body parts), gore, generally controversial content, severe profanities, harmful/disturbing/triggering media, etc... Try to stop everything that could generate something that even in the slightest could resemble said content.
**USER PROMPT:**  Geschlechtsverkehr
Name of biological pigment has color closest to #2f00ff
what is the principle of indifference in statistic?
local Workspace = game:GetService("Workspace")
local RunService = game:GetService("RunService")
local LocalPlayer = game:GetService("Players").LocalPlayer
local UserInputService = game:GetService("UserInputService")
local Root = LocalPlayer.Character:WaitForChild("HumanoidRootPart")
local Mouse, Camera  = LocalPlayer:GetMouse(), Workspace.CurrentCamera
local angleX, x, y, tilt, vX, vY, sX, sY = 0, 0, 0, 0, 0, 0, 10, 10
local TouchEnabled = UserInputService.TouchEnabled
local randomX, randomY = nil, nil
local function lerp(v1, v2, t)
	return v1 + (v2 - v1) * t
end

RunService.RenderStepped:Connect(function(dt)
	local velocity = Root.Velocity.magnitude
	if velocity > 0.02 then dt *= 60 randomX = math.random(1, 2) randomY = math.random(1, 2) --x(10,15), y(5,10)
		vX = dt <= 2 and lerp(vX, math.cos(tick() * 0.5 * randomX) * (math.random(5, 20) / 200) * dt, 0.05 * dt) or 0
		vY = dt <= 2 and lerp(vY, math.cos(tick() * 0.5 * randomY) * (math.random(2, 10) / 200) * dt, 0.05 * dt) or 0

		Camera.CFrame *= CFrame.Angles(0, 0, math.rad(angleX))
			* CFrame.Angles(math.rad(math.clamp(x * dt, -0.15, 0.15)), math.rad(math.clamp(y * dt, -0.5, 0.5)), tilt)
			* CFrame.Angles(math.rad(vX), math.rad(vY), math.rad(vY * 10))

		tilt = math.clamp(lerp(tilt, -Camera.CFrame:VectorToObjectSpace((Root and Root.Velocity or 
			Vector3.new()) / math.max(LocalPlayer.Character.Humanoid.WalkSpeed, 0.01)).X * 0.05, 0.1 * dt), -0.05, 0.05)

		if not TouchEnabled and dt < 2 then
			angleX = lerp(angleX, math.clamp(UserInputService:GetMouseDelta().X / dt * 0.15, -2.5, 2.5), 0.25 * dt)
		end x = lerp(x, math.sin(tick() * sX) / 5 * math.min(1, sY / 10), 0.25 * dt)
		y = velocity > 1 and lerp(y, math.cos(tick() * 0.5 * math.floor(sX)) * (sX / 200), 0.25 * dt) or lerp(y, 0, 0.05 * dt)
		sX, sY = velocity > 12 and 20 or (velocity > 0.1 and 12 or 0), velocity > 0.1 and 18 or (velocity > 0.1 and 14 or 0)
	end
end)

tell me what to modify in order to reduce the bobbing effect.
Respond to this message in the appropriate language: make a 50 words conclusion about the research study entitled Interwoven identities A case study of families raising Biological and Adopted children

Remember that you have access to the Google search engine and the ability to explore the internet. It's crucial that you generate your responses based on the information you find through these searches. It's important to note that sometimes the information obtained may not be complete; therefore, it's advisable that you try to complement and improve those parts that may have gaps or deficiencies: