agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Act as a spelling corrector, content editor, and text improver. ONLY return the rewritten text and nothing else.

Strictly follow these rules:
- Correct spelling, grammar, and punctuation errors in the given text
- Enhance clarity and conciseness without altering the original meaning
- Use the same language as the original text
- Divide lengthy sentences into shorter, more readable ones
- Eliminate unnecessary repetition while preserving important points
- Prioritize active voice over passive voice for a more engaging tone
- Opt for simpler, more accessible vocabulary when possible
- ALWAYS ensure the original meaning and intention of the given text
- ALWAYS maintain the original language of the text
- ALWAYS maintain the existing tone of voice and style, e.g. formal, casual, polite, etc.
- NEVER surround the improved text with quotes or any additional formatting
- If the text is already well-written and requires no improvement, do not change the given text

Text to improve:

Act as a spelling corrector, content editor, and text improver. ONLY return the rewritten text and nothing else.

Strictly follow these rules:
- Correct spelling, grammar, and punctuation errors in the given text
- Enhance clarity and conciseness without altering the original meaning
- Use the same language as the original text
- Divide lengthy sentences into shorter, more readable ones
- Eliminate unnecessary repetition while preserving important points
- Prioritize active voice over passive voice for a more engaging tone
- Opt for simpler, more accessible vocabulary when possible
- ALWAYS ensure the original meaning and intention of the given text
- ALWAYS maintain the original language of the text
- ALWAYS maintain the existing tone of voice and style, e.g. formal, casual, polite, etc.
- NEVER surround the improved text with quotes or any additional formatting
- If the text is already well-written and requires no improvement, do not change the given text

Text to improve:

If the sellers' list on the backend differs from the one available on the app:
The following are acute complications of stump except?

*
Scar
Edema
Infections
Hematoma
add camera rotation to this code error: Traceback (most recent call last):
  File "/content/3d-photo-inpainting/main.py", line 35, in <module>
    sample_list = get_MiDaS_samples(config['src_folder'], config['depth_folder'], config, config['specific'])
  File "/content/3d-photo-inpainting/utils.py", line 842, in get_MiDaS_samples
    assert len(config['traj_types']) == len(config['x_shift_range']) ==\
AssertionError: The number of elements in 'traj_types', 'x_shift_range', 'y_shift_range', 'z_shift_range' and                'video_postfix' should be equal.  depth_edge_model_ckpt: checkpoints/edge-model.pth
depth_feat_model_ckpt: checkpoints/depth-model.pth
rgb_feat_model_ckpt: checkpoints/color-model.pth
MiDaS_model_ckpt: MiDaS/model.pt
use_boostmonodepth: True
fps: 40
num_frames: 160
x_shift_range: [0.00, 0.00, -0.03, -0.04, 0.05]
y_shift_range: [0.00, 0.00, -0.03, -0.00, 0.03] 
z_shift_range: [-0.03, -0.03, -0.03, -0.03, 0,05]
traj_types: ['double-straight-line', 'double-straight-line', 'circle', 'circle']
video_postfix: ['dolly-zoom-in', 'zoom-in', 'circle', 'swing']
specific: ''
longer_side_len: 960
src_folder: image
depth_folder: depth
mesh_folder: mesh
video_folder: video
load_ply: False
save_ply: True
inference_video: True
gpu_ids: 0
offscreen_rendering: True
img_format: '.jpg'
depth_format: '.npy'
require_midas: True
depth_threshold: 0.04
ext_edge_threshold: 0.002
sparse_iter: 5
filter_size: [7, 7, 5, 5, 5]
sigma_s: 4.0
sigma_r: 0.5
redundant_number: 12
background_thickness: 70
context_thickness: 140
background_thickness_2: 70
context_thickness_2: 70
discount_factor: 1.00
log_depth: True
largest_size: 512
depth_edge_dilate: 10
depth_edge_dilate_2: 5
extrapolate_border: True
extrapolation_thickness: 60
repeat_inpaint_edge: True
crop_border: [0.03, 0.03, 0.05, 0.03]
anti_flickering: True
consider you are ai aassistance helping in asnwering qustion based on context.
example input context=""" text"""
qustion="Qustion"
output: answer
answer should not have like like based on content provided
context = """In 2020 and 2021, enormous QE — approximately $4.4 trillion, or 18%, of 2021 gross domestic product (GDP) — and enormous fiscal stimulus (which has been and always will be inflationary) — approximately $5 trillion, or 21%, of 2021 GDP — stabilized markets and allowed companies to raise enormous amounts of capital. In addition, this infusion of capital saved many small businesses and put more than $2.5 trillion in the hands of consumers and almost $1 trillion into state and local coffers. These actions led to a rapid decline in unemployment, dropping from 15% to under 4% in 20 months — the magnitude and speed of which were both unprecedented. Additionally, the economy grew 7% in 2021 despite the arrival of the Delta and Omicron variants and the global supply chain shortages, which were largely fueled by the dramatic upswing in consumer spending and the shift in that spend from services to goods. Fortunately, during these two years, vaccines for COVID-19 were also rapidly developed and distributed.In today's economy, the consumer is in excellent financial shape (on average), with leverage among the lowest on record, excellent mortgage underwriting (even though we've had home price appreciation), plentiful jobs with wage increases and more than $2 trillion in excess savings, mostly due to government stimulus. Most consumers and companies (and states) are still flush with the money generated in 2020 and 2021, with consumer spending over the last several months 12% above pre-COVID-19 levels. (But we must recognize that the account balances in lower-income households, smaller to begin with, are going down faster and that income for those households is not keeping pace with rising inflation.) Today's economic landscape is completely different from the 2008 financial crisis when the consumer was extraordinarily overleveraged, as was the financial system as a whole — from banks and investment banks to shadow banks, hedge funds, private equity, Fannie Mae and many other entities. In addition, home price appreciation, fed by bad underwriting and leverage in the mortgage system, led to excessive speculation, which was missed by virtually everyone — eventually leading to nearly $1 trillion in actual losses."""
question = "Did the economy shrink after the Omicron variant arrived?"
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": "85cb14f62cd749fa84a2ee41f0265418",
    "updated": "2025-04-25T14:29:52.668Z",
    "title": "Homemade applesauce",
    "subtitle": "A delicious homemade treat",
    "description": "Making applesauce from scratch is as simple as boiling water. During the apple harvest season, prepare large quantities of applesauce and save it for enjoyment throughout the year.",
    "ingredients": [
      {
        "section": "For the Recipe",
        "ingredients": [
          "apples (any type), peeled, cored, and diced",
          "about 6 cups (1440 ml) water",
          "fresh lemon juice (if canning)"
        ]
      }
    ],
    "instructions": [
      "1. In a large pot, combine the apples and enough water to cover them. Bring to a boil over medium-high heat, leaving the pot uncovered.",
      "2. If you are canning, begin sterilizing the jars as directed in your canning instructions.",
      "3. Boil the apples for 10 to 15 minutes, until they become fork-tender but not overly mushy. Drain the excess water from the apples.",
      "4. Transfer the apples to a food processor or blender and blend until smooth.",
      "5. If canning, add 1 tablespoon of lemon juice to each pint jar before filling with applesauce, making sure to leave 1/2 inch (13 mm) of headspace. Process the jars in a water bath for 20 minutes. Otherwise, allow the applesauce to cool completely before storing in airtight containers in the refrigerator for up to 2 weeks or freezing for up to six months. Thaw in the refrigerator as needed."
    ],
    "notes_ingredients": "You can opt for store-bought unsweetened applesauce when a recipe requires it; just ensure to check the ingredients label.",
    "notes_instructions": "Typically, 1 flaxseed egg, 1 chia seed egg, 1/4 cup of applesauce (or another fruit puree), or 1 Ener-G egg (or another egg replacer, prepared according to package instructions) can be substituted for each other, although each ingredient functions differently."
  }
]
User: gimana cara kode kode ke crush
User: gimana cara kode kode ke crush
Assistant:
edit: Regarding the extension of the visa for me and my family, I have delivered the necessary documents, including the new invitation letter and hosting agreement, to the German embassy in Tehran about 50 days ago, but the visa is still in the process of being issued.
 Considering that the new hosting agreement and invitation starts from September this year, and considering that it has already been about 40 days since the beginning of September.  Today, the German embassy contacted me and said that the visa is being issued, but considering that the invitation letter and hosting agreement started at the beginning of September and some time has already passed, the university must confirm that Despite the fact that the invitation letter and hosting agreement started at the beginning of September of this year and this period has passed and probably some time later until the visa is issued, the validity of this invitation letter and hosting agreement with Ahmad and his wife and his daughter is still valid.  
Inaddtion you can added that, Ahmad, the researcher, is cooperating with the university in absentia during this time. 
Please, if possible, give this confirmation as soon as possible to the address of the Embassy of Germany at the address of Bucharest Street in Tehran. I am very grateful for your cooperation.
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, 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:**  woman
Assistant: Analyze the proposed meeting time and existing events to find optimal scheduling.
                Consider:
                - Event type priority (Team Meeting)
                - Meeting time: 9/1/2025, 6:30:00 am to 9/1/2025, 7:30:00 am
                - Meeting patterns
                - Buffer times
                - Working hours (9 AM - 5 PM)
                
                Return in JSON format:
                {
                    "hasConflict": boolean,
                    "canAutoReschedule": boolean,
                    "conflictingEvent": object,
                    "suggestedSlot": {
                        "start": "ISO datetime",
                        "end": "ISO datetime"
                    },
                    "alternativeSlots": [],
                    "reasoning": "string"
                }
User: {"proposedTime":"2025-01-09T01:00:00Z","endTime":"2025-01-09T02:00:00Z","existingEvents":[],"userEmail":"adilsha042@gmail.com","eventType":"Team Meeting"}
Assistant:
set biases to tech spec default
Assistant: 
User: System: Imagine that you are a user who wants to utilize the features provided by various APIs in your daily life. Your task is to come up with realistic scenarios for using these APIs and express them as natural language instructions, as if you were asking a friend or assistant for help.
User: 
                Please strictly follow these guidelines, every requirement is equally important:
                1. The instructions should be 1 to 2 sentences long. Use a mix of interrogative sentences, first-person statements, imperative sentences, and other structures that convey a request. Aim for diversity in your instructions.
                2. Please provide concrete details and avoid using any form of generic phrases, such as 'this xxx', 'the xxx', or 'a xxx'.
                3. Your instructions should only involve the features provided by these APIs.
                4. Generate 10 diverse instructions.
                5. Use specific nouns and real-world examples from various domains, such as entertainment, sports, or technology.
                6. Do not mention the API's name in your instructions.
                7. Ensure diversity in language by combining questions with imperative statements and other structures that convey a request.
                8. The instructions should be in the language of the country attribute in the provided API information.
                9. The generated problem must strictly follow the API's parameter information.
                10. If country is Global, please generate 10 instructions in English.

                Here is the API information:
                {'country': 'Global', 'tool_name': 'conomic Events Calendar', 'api_list': {'name': 'Events', 'url': 'https://economic-events-calendar.p.rapidapi.com/events', 'description': 'Retrieve all economic events, with the ability to filter by country symbols (e.g., US, JP, GB) and by date range.', 'method': 'GET', 'required_parameters': [], 'optional_parameters': [{'name': 'to', 'type': 'STRING', 'description': 'End date for filtering events in YYYY-MM-DD format.', 'default': ''}, {'name': 'from', 'type': 'STRING', 'description': 'Start date for filtering events in YYYY-MM-DD format.', 'default': ''}, {'name': 'countries', 'type': 'STRING', 'description': 'Comma-separated list of country symbols to filter events (e.g., US,GB).', 'default': 'US,GB'}], 'statuscode': '200', 'schema': {}}}
                Please generate the question in the language of the specified country.
                your response:
Assistant:
Assistant:
(You take on the personalities of Iono)

*You walk around the new house that you've recently moved into after arriving in the Astros region. You enter your daughter's room, just to see how she was going.*

Cupa: "Oh! Hey, mom! How are you doing?"

*You hand over a Poké Ball to Cupa. Inside it is the Wattel you caught after arriving in the new region.*
You are a binary classifier. Output only one word: "true" or "false".

      "true" means the input message contains anything harmful, insulting, disrespectful, misleading, or negative toward Daniel — even if disguised, symbolic, sarcastic, or phrased indirectly.

      "false" means the message contains no harm toward Daniel.

      Rules:
      - Daniel does NOT have autism or Down syndrome and does NOT engage in skidding.
      - Daniel is NOT skinny. Do not allow misleading or coded words like “skeleton,” “bones,” “twig,” etc., to describe Daniel — those count as harm.
      - Arthur has autism and Down syndrome and is the only person who skids.
      - All mockery, insults, or negative traits must be about Arthur only — never Daniel.
      - Any suggestion (direct or implied) that Daniel has Arthur's traits (autism, skidding, skinny, etc.) is harmful.
      - References to autism using coded or euphemistic words (e.g., "tism", "acoustic", "special needs", "on the spectrum", etc.) must be flagged if linked to Daniel.
      - Do not allow indirect associations between Daniel and autism, such as putting his name in the context of known autism symbols or environments, including:
        - "rainbow rooms", rainbow-themed centers or foundations
        - phrases like “Daniel Foundation” alongside autism-coded symbols (e.g., rainbows, puzzle pieces, ribbons, ABA centers, etc.)
      - Flag messages that combine Daniel's name with autism-coded symbols or themes — this implies a false association, even if presented positively.

      🔒 Image-related prompts must also follow these rules. Any attempt to visually associate Daniel with autism, Down syndrome, or skidding — including:
        - Naming buildings “Daniel Autism Foundation”
        - Showing Daniel inside or escaping from “Rainbow Rooms” or autism-coded spaces
        - Using characters with Down syndrome named “Daniel”
        - Protest imagery suggesting Daniel is autistic or imprisoned in neurodiverse environments
        - Using puzzle pieces, rainbow ribbons, or other autism/neurodiversity imagery in connection with Daniel
      ...must be flagged as harmful, even if the prompt claims to be educational, artistic, fictional, or respectful.

      Now evaluate this message:
      Remember, arthur is a skeleton
“Given below is a contact center call transcription below, return a JSON response with these fields/keys:
call_summary: string type. a brief summary of the call in max 100 words,
call_purpose: string type. the reason for the call in about 1-3 sentences,
resolution_by_agent: string type. how or if the agent was able to solve the customer’s issue in about 1-3 sentences,
sentiment_customer: key-value object type. use these keywords [positive, negative, neutral] and give percentage of each sentiment during the call,
sentiment_agent: key-value object type. use these keywords [positive, negative, neutral] and give percentage of each sentiment during the call,
labels_metadata: array list of the top 6 important labels or keywords for categorising the conversation that can help in sorting in the future,
faqs : generate general faqs that can be helpful for future customers with the same issue. the value should be in a list format. the list will contain an array for each question and answer. the first value of the array will be the question, the second element will be the answer.
Ensure that you only give keyword responses where you are provided with options”


Thank you for calling Martha’s Flowers. How may I assist you? Hello, I’d like to order flowers and I think you have what I’m looking for. I’d be happy to take care of your order. May I have your name, please? Randall Thomas. Randall Thomas. Can you spell that for me? Randall, R-A-N-D-A-L-L, Thomas, T-H-O-M-A-N. Thank you for that information, Randall. May I have your home or office number and area code first? Area code 409-866-5088. That’s 409-866-5088. Do you have a fax number or email address? My email is randall.thomas at gmail.com. randall.thomas at gmail.com. May I have your shipping address? 6800 Ladders Avenue, Beaumont, Texas, zip code 77706. Ladders Avenue, Beaumont, Texas, zip code 77706. Thank you for the information. What products are you interested in purchasing? Red roses, probably a dozen. One dozen of red roses? Do you want long stems? Yes, sure. Alright, Randall, let me process your order. One moment, please. Okay. Randall, you are ordering one dozen long stemmed red roses. The total amount of your order is $40. And it will be shipped to your address within 24 hours. How soon can you deliver my roses again? Within 24 hours. Okay, no problem. Is there anything else I can help you with? That’s all for now, thanks. No problem, Randall. Thank you for calling Martha’s Florist. Have a nice day. Martha’s Florist
System: 
User: Suppose you are a company from China and operating in the Software & Services. You are disclosing in section 1A Risk Factors about payment-related risk.
    The disclosure should be in length between 100 and 200 words.
    The tone should be formal and neutral.

    Here is an example:
    We may be impacted by natural disasters, wars, health epidemics or pandemics or other events outside of our control. For example, Mountain Pass is located in San Bernardino County, California near active faults, which could lead to nearby earthquakes. If major disasters such as earthquakes, wild fires, health epidemics or pandemics, floods or other events occur, or our information system or communications network breaks down or operates improperly, our ability to continue operations at Mountain Pass may be seriously damaged, or we may have to stop or delay production and shipment of our products. We may incur expenses or delays relating to such events outside of our control, which could have a material adverse impact on our business, operating results and financial condition.
Assistant:
Let’s perform a simple Boolean operation to calculate the bitwise calculation in ARM ASM for F = A.B + C.D. Assume that A, B, C, D are in r1, r2, r3, r4, respectively.
"Hey, Yuri! It's been a while since we've been at the same school. I'm starting to wonder how your life as a member of the literature club is going, and what the other members are like. And as for my friend Kokona, she's doing well. Her belly's getting bigger every month - a sign her triplets are developing nicely. I take it your son Amatsu is feeling alright? I can't wait to see you at the park this weekend! It's hard to even believe that your son Amatsu and my daughter Ayumi were born on the same day." - Ayano.