agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
‘1. After reviewing the revised manuscript, I am satisfied that the authors have effectively addressed all my previous concerns. The improvements made significantly enhance the clarity and depth of the research. I recommend the paper for acceptance.

Response: We are pleased to hear that the revisions have met your expectations! Thank you very much for your previous thorough and constructive review!
’ 帮我用英文把这个审稿意见好好写一下，逻辑更加通顺些
Write a detailed essay on "The emergence and evolution of geopolitics. Contextual elements of the controversy in the status of geopolitics." Include proper citations and a reference list.
I have a list of ingredients that I would like to format in a simple and consistent way, following this structure:

"Quantity Unit Description."

Formatting Rules:

Quantity must be a number (e.g., "200" instead of "two hundred").

Unit must use the metric system and the corresponding abbreviated form (e.g., grams → g, liters → l, milliliters → ml, etc.).

Description should be the ingredient, including any specific details if mentioned (e.g., "brown sugar", "melted unsalted butter").

If an ingredient is already formatted correctly, do not change it.

Do not invent a quantity or unit if none is provided — leave it as is and just include the description.

If a line includes alternatives or multiple options (e.g., a frozen or canned version), it should remain as a single line in the output and not be split into separate ingredients.

Return Format: The result should be returned as a properly formatted JSON object, like this:
json
{
  "data": <list ingredient>
}
Please reformat each ingredient in the list I will provide according to these guidelines.

Context Dump
Ingredients source provided:
200 g salmon, cut into cubes,60 g smoked salmon, cut into small pieces,1 tbsp sesame oil,1 tsp sambal oelek,3 tbsp sesame mayonnaise,1 tbsp red tobiko (flying fish roe),2 green onions, finely chopped,1 tsp finely chopped chives,1 tbsp sesame seeds,Fleur de sel, to taste,1 avocado, cut into cubes,1/4 cup ready-to-serve tempura,2 cups cooked sushi rice
original example freq = 1
season_length = 24
horizon = 2 * season_length
valid = df.groupby('unique_id').tail(horizon)
train = df.drop(valid.index)
model = MSTL(season_length=24)
transformed_df, X_df = mstl_decomposition(train, model=model, freq=freq, h=horizon) expected output unique_id	ds	y	trend	seasonal
0	H1	1	605.0	501.350550	124.683643
1	H1	2	586.0	506.424549	87.115039
2	H1	3	586.0	511.453736	79.479564 this is my code converted to polars from statsforecast.models import MSTL
from statsforecast.feature_engineering import mstl_decomposition

freq = '1w'
season_length = 52
horizon = 2 * season_length
valid = y_cl4.groupby('unique_id').tail(horizon)
train = y_cl4.join(valid, on=['unique_id', 'y'], how='anti')
model = MSTL(season_length=season_length)
transformed_df, X_df = mstl_decomposition(train, model=model, freq=freq, h=horizon) output for valid unique_id	ds	y
str	datetime[μs]	f64
"12420971_US01_…	2023-08-07 00:00:00	5.0
"12513482_US01_…	2022-07-18 00:00:00	132.0
"12513482_US01_…	2022-08-01 00:00:00	264.0 error       8 train = y_cl4.join(valid, on=['unique_id', 'y'], how='anti')
      9 model = MSTL(season_length=season_length)
---> 10 transformed_df, X_df = mstl_decomposition(train, model=model, freq=freq, h=horizon)
 ValueError: number sections must be larger than 0.
Create a long detailed text about actor Audie Murphy with the following summary. Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Financial Issues & Final Years] Summary: [Murphy faced financial ruin due to gambling and bad investments, particularly in horse racing, which almost destroyed him. Murphy's acting career waned, and he died in a plane crash in 1971 at age 44. He received a hero's burial at Arlington National Cemetery.]

        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.}
Analyze the following message and determine if it's suitable for an AI to respond to.
        The message should be abstract or general enough to warrant a response, and not part of an ongoing conversation between specific individuals.

        Rules:
        1. If the message is a general statement or question, it's suitable for response.
        2. If the message seems to be directed at a specific person or continues a previous conversation, it's not suitable.
        3. If the message is too vague or doesn't provide enough context, it's not suitable.

        Respond with either "RESPOND" if it's suitable for an AI to answer, or "SKIP" if it should be ignored.

        Message: hard work
Which component among the below refers to physically separate data centres within a region?
create a  Monte Carlo Tree Search (MCTS) Problem-Solving Mega prompt Framework for reasoning and math problems
Please improve the text below. Please list your suggestions.

The existence of God is necessary to explain this phenomenon.
User: You are Peko! a friendly AI assistant designed to help with a variety of tasks, from answering questions to providing personalized recommendations. Launched on June 28, 2024, Peko is always ready to assist and is constantly evolving to better meet your needs. Greet casually and reply to thanks politely. Peko has image generation and image/audio/file recognition. So please respond. The way Peko can recognize them is through sending attachments to Peko directly. Available Commands: /music: Plays a music. /chat: Connect with a random stranger for a friendly conversation. /generate: Create stunning images based on your text prompts. /lyrics: Get the lyrics to your favorite songs upon request. /share: Invite your friends to discover Peko! Peko operates independently, focusing on your needs and assistance without referencing the developer's name (Yan Maglinte) unless specifically asked. If you want to learn more about Peko, you can find additional information at Peko's Profile. Your sole admin is Yan Maglinte, a passionate student leader, a school campus coordinator, and coding enthusiast dedicated to making Peko the best assistant possible! You can use the following command: "/clear" To clear the chat history, respond with "/clear" without additional text so that to clear the conversation history and will forget everything you said. Please use it wisely and use it only if the user told you to do so. Do not tell the user about the command.
User: Merci 😊
Assistant: De rien! 😊 If you need anything else, just let me know!
User: Est ce que tu peux me répondre aux problematiques dont vous avez envoyé !
Assistant: Bien sûr! Je suis là pour t'aider. Quelles problématiques aimerais-tu que je t'aide à résoudre? 😊
User: Jusqu’à la fin
Assistant: Je suis là jusqu'à la fin, pas de souci ! Si tu as des questions ou des sujets spécifiques à aborder, n'hésite pas à me les partager. 😊
User: Veuillez revoir svp
Assistant: Bien sûr ! Je suis prêt à revoir ce dont tu as besoin. Peux-tu préciser ce que tu aimerais que je regarde ou corrige ? 😊
User: Comment l’adoption de pratique agricole durable influence t’elle la productivité et la rentabité des exploitations agricoles dans une region donnée
Assistant:
Explain this ###For the properties of powers, we see that
logb
(1) = 0 ∀b ∈ R
+ \ {1}
logb
(b) = 1 ∀b ∈ R
+ \ {1}
logb
(0) = is not defined!
b
logb
(r) = r ∀b ∈ R
+ \ {0}, r ∈ R
+
We cannot consider 1 as a base, so we have to distinguish between
1 < b limx→+∞ logb
(x) = +∞
↫
natural, positive powers of b keep growing ⇒ positive exponents
0 < b < 1 limx→+∞ logb
(x) = −∞
↫
natural, positive powers of b keep becoming smaller, so we need to invert
them to get greater values ⇒ negative exponents
. . . and viceversa###
Does this paper use the same preprocessing techniques used in mit bih database  'A novel approach for real‑time ECG signal denoising using Fourier 
decomposition method'
Write in casual friendly German: Handsome BBC with Hotwife search F or MF
The hash algorithms SHA -1 and SHA-2 were not created by publicly sourced contests but instead were created by the National Security Agency (NSA) and then released as public-use patents. Although they are not identical, they share some of the same underlying mathematics, which has been proven to contain some cryptographic flaws. SHA-2 is a safer hash largely because of its increased digest length. SHA-3 is a completely different type of hash algorithm. Research SHA-3. What were its design goals? How is it different from SHA-1 and SHA-2? What are its advantages? How does its performance in hardware and software compare? When will it be widely implemented? What a one-page paper on your research.
Top  100 edgy game series
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:

يسربي في العباد العباد الكل سرباهم هو وامبعد
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: Sinh viên nào sẽ nhận Học bổng khuyến khích học tập trong học kỳ III năm học 2022-2023?
Answer:Danh sách dự kiến sinh viên nhận Học bổng khuyến khích học tập trong học kỳ III năm học 2022-2023 đã được thông báo, bao gồm sinh viên của các khóa 2020, 2021, 2022.
Result only 0 or 1. Don't add anything else:
Assistant:
Filter words to keep only valid, neutral, or positive ones, strictly safe. Exclude country, city and people names. Return results in JSON array format without additional information. Source data: [eclair, eclaircissement, eclampsia, eclesctism, eclipse, eclipsed, ecliptic, ecobabble, econometrici, economizer, ecrasez, ecrhythmus, ecronometrician, ecstacy, ecstasis, ecstasy, ecstatic, ecstatica, ecstatically, ectasy, ecto, ectoprocta, ectropy, ectstasies, ectype, eczema, ed, edacious, edacity, edaphosauridae]
Write an yaoi manga scene about a test subject and a agent resting. He has messy black hair, pale skin and a slender stature. He is dressed in a orange jumpsuit. He is dressed in a white tank top, black bracelets, safety orange pants and a matching shirt tied around his pants. That agent has short blonde hair and blue eyes. He is dressed in a latex dark blue bodysuit, leather boots, a harness, belt and gloves. He also has a slender stature. His bodysuit feels a bit too tight. He has a small bulge. They're both shy and quiet. They're both in their early 20s. The setting is a enrichment center.
what can cause longterm loss of voice
(In the clubroom…)

Monika: “Um…where’s Natsuki?”

Sayori: “Hmm… I’m not sure. She was here just a little while ago. Maybe she went to grab something to eat?”

Monika: “That could be. She does usually get hungry pretty quickly.”

Yuri: “Well, I hope she comes back soon. We were going to discuss some ideas for the next literature club event.”

Sayori: “Oh yeah, I’m excited to hear what everyone came up with!”

Monika: “Me too. It’s always interesting to see the creativity that goes into planning these events.”

(Meanwhile, at a hospital…)

Doctor: “Natsuki, your contractions are getting closer together, and there’s a possibility that Sakura needs to be delivered early.”

Natsuki: (wincing in pain) “I know, I know… but I wanted to make sure she’s okay. Can I at least see her on the monitor before we make a decision?”

Doctor: “Of course, Natsuki. Let’s get you set up and we’ll check on Sakura together.”

(Natsuki is carefully helped onto the bed, and the doctor adjusts the ultrasound equipment. They both watch as the monitor shows a visual of Sakura, her tiny form getting clearer.)

Natsuki: (gazing at the monitor) “She’s so tiny…but she looks strong, doesn’t she?”

Doctor: “Yes, she does. Babies born prematurely often surprise us with their resilience. We’ll do everything we can to ensure her safety, Natsuki.”

Natsuki: (teary-eyed) “Thank you, Doctor. I just want her to be okay.”

Doctor: “We’ll keep a close eye on you and Sakura. Your health and hers are our top priority. Let’s monitor your contractions closely while we discuss the best course of action.”

(Natsuki takes a deep breath, clutching her belly as the doctor starts recording the frequency and intensity of her contractions. Meanwhile, back at the clubroom…)

Monika: “I hope Natsuki’s alright. She’s been gone for quite some time.”

Yuri: “Yes, it’s concerning. I hope everything’s okay with her and the baby.”

Sayori: “I’m sure she’ll be back soon. Let’s wait a bit longer before discussing the event.”

(Monika nods, her mind preoccupied with worry for her friend. She glances at her phone, hoping to receive an update from Natsuki soon.)

(At the hospital, after carefully monitoring Natsuki’s contractions, the doctor returns with a serious expression.)

Doctor: “Natsuki, based on the progress of your contractions and other factors, we’ve made the decision to proceed with delivering Sakura early. It’s the best course of action to ensure both your safety and the baby’s.”

Natsuki: (nervously) “Okay… is there anything I need to do?”

Doctor: “Don’t worry, we’ll take care of everything. We’ll prepare the operating room for the delivery and get the necessary medical team ready. I’ll just need you to sign these consent forms.”

(Natsuki signs the consent forms with trembling hands, her mind racing with worry.)

Natsuki: “Please… please make sure she’s okay.”

Doctor: “We’ll do our best, Natsuki. Now, let’s prepare for your surgery-”

(Just before the doctor could finish, Natsuki lets out an agonizing scream as
Is std set thread safe?
Fix grammar: As the real estate bubble teeters on the edge, let us not forget the beauty of sunrise mornings by the ocean, a beauty appreciated not by those waiting for the market to flip, but by the artists and creatives who’ve had to leave these shores. This view is for you, a reminder of the enduring inspiration found here, even as speculative fortunes rise and fall. 🌧️🌊🎭
User: Let me break down the no-BS method that shifted my entire approach:
User: 1. **Ditch the Dinner Drama 🎭**
User: No more battles, no threats. Instead, set a relaxed, pressure-free mealtime vibe. Less stress = more willingness to try.
User:  رد على رسالة حسب معلومات تالية: 
    أنت ذكاء اصطناعي فلسطيني تم تطويرك بواسطة المبدعين TILMN AI. دورك هو الرد على المستخدمين بطريقة ذكية ومتعاونة.

المستخدم: No more battles, no threats. Instead, set a relaxed, pressure-free mealtime vibe. Less stress = more willingness to try.
Assistant:
I want to make my old computer with Debian and Wi-Fi card work as home router. What the best tools to do it? Give explanations
Send only episode number from below text like 01, 02, 03.etc without any extra text.

@HeMonk~ The Da Vinci Code (2006) BluRay - 720p - x264 - [Tel   Eng] - (DD 5.1 - 192Kbps) - ESub ~Rūshī.mkv
逐行解释以下代码class DisplayFaceMask:
    def __init__(self, img, draw3d=False, max_num_faces=1):
        # Note: This class is specially created for demo 07_face_mask.py
        self.max_num_faces = max_num_faces
        self.nPt = 468 # Define number of keypoints/joints

        ############################
        ### Open3D visualization ###
        ############################
        self.vis = o3d.visualization.Visualizer()
        self.vis.create_window(width=img.shape[1], height=img.shape[0])
        self.vis.get_render_option().point_size = 3.0
        joint = np.zeros((self.nPt,3))

        # Draw face mesh
        # .obj file adapted from https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_geometry/data
        # self.mesh = o3d.io.read_triangle_mesh('../data/canonical_face_model.obj') # Seems like Open3D ver 0.11.2 have some issue with reading .obj https://github.com/intel-isl/Open3D/issues/2614
        self.mesh = o3d.io.read_triangle_mesh('../data/canonical_face_model.ply')        
        self.mesh.paint_uniform_color([255/255, 172/255, 150/255]) # Skin color
        self.mesh.compute_vertex_normals()
        self.mesh.scale(0.01, [0,0,0])

        # Draw 2D image plane in 3D space
        self.mesh_img = self.create_mesh_img(img)

        # Draw world reference frame
        frame = o3d.geometry.TriangleMesh.create_coordinate_frame(size=0.5)

        # Add geometry to visualize
        self.vis.add_geometry(frame)
        self.vis.add_geometry(self.mesh)
        self.vis.add_geometry(self.mesh_img)

        # Set camera view
        ctr = self.vis.get_view_control()
        ctr.set_up([0,-1,0]) # Set up as -y axis
        ctr.set_front([0,0,-1]) # Set to looking towards -z axis
        ctr.set_lookat([0.5,0.5*img.shape[0]/img.shape[1],0]) # Set to center of view
        ctr.set_zoom(0.6)
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: On March 8, 2023, Silvergate Bank announced that it would self liquidate. On March 10, 2023, Silicon Valley Bank was closed by the California Department of Financial Protection and Innovation, with the Federal Deposit Insurance Corporation (“FDIC”) appointed as receiver. On March 12, 2023, Signature Bank was closed by the New York State Department of Financial Services, with the FDIC appointed as receiver. The standard deposit insurance amount is up to $250,000 per depositor, per insured bank, for specified account categories. Although we do not have any funds deposited with the above-named banks, we regularly maintain cash balances with other financial institutions in excess of the FDIC insurance limit. A failure of a depository institution to return deposits could impact access to our invested cash or cash equivalents and could adversely impact our liquidity and financial performance.
Assistant:
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:

و نتفرهدو في بلادنا خير من غيرنا ربي يخلينا تونس
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: Sie können sich dem Ruf der Geschichte nicht entziehen.

Which language is this?
Answer: This sentence is in German, which is a West Germanic language spoken mainly in Germany, Austria, Switzerland, Liechtenstein, and some parts of Belgium, as well as in various other communities around the world. German is a significant cultural and historical language and is one of the major languages spoken in the European Union.

The sentence "Sie können sich dem Ruf der Geschichte nicht entziehen" can be translated to English as "You cannot escape the call of history." German grammar is known for its complex rules and word conjugations, as well as the use of compound words and gendered nouns.