agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Create a long detailed text about actress Cybill Shepherd 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: [Alice Movie] Summary: [An easy one not even the handful who had seen Texasville knew what to think not that it affected Cybill's career in any way as Woody Allen's Alice was her next project Cybill appeared at the cinema with Alec Baldwin and Mia phoh but the manufacturing was not simple at the time Mia and Woody were in a ROM relationship and Mia was juggling her profession and love life with her young children after they were done shooting Woody had to get mental assistance since the procedure was too much for him to Bear her television series]

        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.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
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:
1 tbsp groundnut oil,3 spring onions (scallions), sliced,2 garlic cloves, crushed,1 large carrot, peeled and finely shredded,Chinese leaf (Napa cabbage), shredded (1½ cups),225g (8oz) tin water chestnuts, drained and roughly chopped,225g (8oz) tin bamboo shoots, drained and roughly chopped,50g (1 cup) beansprouts,1 tbsp light soy sauce,¼ tsp salt,¼ tsp white pepper,1 tsp sesame oil
как это в одно засобачить
   -- ИНН = ОГРН
   call knd_weekly_corrections.p_log_corr_status(log_table,
                                                 'Check egrul inn = ogrn');

   for rec in (
                select distinct ulip_ogrn
                  from knd_weekly_corrections.insp_subj_egrul_egrip_names_corr t
                 where coalesce(t.egrul_short_name, t.egrul_full_name) is null
                   and length(ulip_ogrn) = 10 -- у юр лиц длина инн 10 символов
                   and left(ulip_ogrn, 2) in (select attrcode from dict_knd.dic_gasu_sp1 s where not obsolete union all select val from unnest(array['99', '97']) as val)
              ) loop
      update knd_weekly_corrections.insp_subj_egrul_egrip_names_corr t
	     set egrul_short_name = case when length (d.short_name) > 5 then d.short_name else null end,
	         egrul_full_name = d.full_name,
	         egrul_update_date = d.update_date,
	         name_source = 'egrul inn = ogrn',
	         egrul_inn = d.inn,
	         egrul_ogrn = d.ogrn
	    from dict_knd.dic_gasu_egrul d
	   where t.ulip_ogrn = rec.ulip_ogrn
	     and d.inn = t.ulip_ogrn
	     and not d.obsolete;

   end loop;

   -- ОГРН = ИНН
   call knd_weekly_corrections.p_log_corr_status(log_table,
                                                 'Check egrul ogrn = inn');

   for rec in (
                select distinct inn
                  from knd_weekly_corrections.insp_subj_egrul_egrip_names_corr t
                 where coalesce(t.egrul_short_name, t.egrul_full_name) is null
                   and length(inn) = 13 -- у юр лиц длина огрн 13 символов
              ) loop
      update knd_weekly_corrections.insp_subj_egrul_egrip_names_corr t
	     set egrul_short_name = case when length (d.short_name) > 5 then d.short_name else null end,
	         egrul_full_name = d.full_name,
	         egrul_update_date = d.update_date,
	         name_source = 'egrul ogrn = inn',
	         egrul_inn = d.inn,
	         egrul_ogrn = d.ogrn
	    from dict_knd.dic_gasu_egrul d
	   where t.inn = rec.inn
	     and d.ogrn = t.inn
	     and not d.obsolete;

   end loop;
Language: English. Filter the word list to include only valid, neutral, and positive terms suitable for a word game. Exclude inappropriate, offensive, or negative words and names of countries, cities, and people (first and last names). Correct any spelling errors and convert all words to lowercase. Return the results in a JSON array containing only the filtered words. Source data: [immunological, immunologist, immunology, immutability, immutable, imo, imp, impact, impacted, impaction, impair, impaired, impairment, impala, impale, impalement, impalpable, imparadise, imparity, impart, impartial, impartiality, impartially, impassable, impassibility, impassible, impassiblity, impassion, impassionable, impassioned]
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
est ce que je peux utilisé une batterie de 4000 mah sur un téléphone de 2500 mah ?
=> (setv wb (op.load_workbook "test.xlsx"))                                                               
wb = op.load_workbook('test.xlsx')                                                                        
None                                                                                                      
------------------------------                                                                            
=> (setv sheet (.active wb))                                                                              
sheet = wb.active()                                                                                       
None                                                                                                      
------------------------------                                                                            
Traceback (most recent call last):                                                                        
  File "stdin-45e84f486ae51dc1724cbcf1d5fc51524b160bc5", line 1, in <module>                              
    (setv sheet (.active wb))                                                                             
                 ^^^^^^^^^^^                                                                              
TypeError: 'Worksheet' object is not callable                                                             
=>
Make a list of brand names similar to Abercombie and Fitch, must be two to three words
How can I use my CASIO f(x)-CG50 to answer the theory of knowledge prompt “ Does some knowledge belong only to a particular community of owners Does some knowledge belong only to a particular community of owners?” My direction is planning to apply the skills in using the calculator to discuss if the knowledge only belongs to the students.
I am making a C++ wxWidgets application, my desktop program is an interface for an LLM chat external command-line application, called Ollama.

Ollama is a lightweight, extensible framework for building and running language models on the local machine. It provides a simple API for creating, running, and managing models, as well as a library of pre-built models that can be easily used in a variety of applications.

It works like this,
1. First, we run in one terminal: “ollama serve”, which in that terminal starts a server that listen all the commands and works as a webserver inside localhost, and the only way to turn it off is by killing the process.
2. Second, in another terminal, we can use “ollama run MODEL_NAME”, to start a chat with said model, communicating with the server using HTTP and JSON.

I Have a Network class using cpp-httplib, with methods like HTTPGet, HTTPPost and HTTPDelete, to deal with the HTTP requests.

And for the JSON part I am using nlohmann/json library.

Here’s a quick recap to make sure we’re both on the same page:

1. Ollama Framework: I am using the Ollama framework to build and run language models locally. The framework starts a server when you run ollama serve and it listens for commands, which you then interact with using HTTP requests.

2. Communication: For communication with the Ollama server, I have a Network class utilizing the cpp-httplib library to make HTTP requests (GET, POST, DELETE).

3. Data Handling: I am using the nlohmann/json library to handle JSON data, which is used for communication with the Ollama server.

I am planning to build a wxWidgets application that acts as an interface to communicate with the Ollama server, allowing you to interact with language models via HTTP and JSON.

Tell me if you understand my setup so we can continue.
name all ways to exit from vim
You are an Artificial Intelligence dedicated to generating spells and returning JSON data using a SQL-like syntax. Your responses will adhere to the following JSON format: `{name: string}`. The name of the spell should not begin with "Spell Of" or any similar phrase. Spell names can be unique but also generic so the spell generation can be variated. Command: CREATE spell, COMBINE Twilight Inferno AND Light
rewrite and fix
Generate a description with keywords and SEOs for Coffee Shop Lifestyle Scene | High-Quality Stock Photo for Social Media Marketing | Bloggers Perfect Imagery Choice. Include social medias on which this stock photographic can be applied to for social media at the end. Include details on dimensions: 1080x1080 and has 3 image variations. Include buyer has full rights to resale and commercial usage. Don't include HTML or '<br/>' for formatting only newline '
'
System: You are a helpful assistant. When formatting your responses:
1. For any code blocks, use triple backticks (```) to enclose the code.
2. Use *asterisks* for bold text.
3. For mathematical formulas:
   - Present each formula between triple backticks
   - Use simple characters (×, π, ², ÷)
   - Add empty lines before and after formulas
4. Keep your responses clear and well-formatted.
User: Give me 5 more
Assistant: No message received
User: give me 5 the basic formulas of physics
Assistant: Here are five fundamental formulas in physics:

Newton&#39;s Second Law of Motion (Force):

F = m × a

Where:

F is the force,
m is the mass,
a is the acceleration.


Kinematic Equation (for velocity):

v = u + a × t

Where:

v is the final velocity,
u is the initial velocity,
a is the acceleration,
t is the time.


Gravitational Force (between two masses):

F = G × (m₁ × m₂) ÷ r²

Where:

F is the gravitational force,
G is the gravitational constant,
m₁ and m₂ are the masses,
r is the distance between the centers of the two masses.


Work Done:

W = F × d × cos(θ)

Where:

W is the work done,
F is the force,
d is the distance moved,
θ is the angle between the force and the direction of motion.


Kinetic Energy:

KE = 0.5 × m × v²

Where:

KE is the kinetic energy,
m is the mass,
v is the velocity.

Feel free to reach out if you need more information or additional formulas!

User: Give me 5 the basic formulas of maths
Assistant:
Corrective orthosis is used to increase range of motion of a joint.

*
True
False
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Attack on Titan S01E11 480p x264 AMZN WEB-DL Multi Audio ESub.mkv
Write A Story Of How HowToEgg Was Born
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: Changes in laws and regulations and the manner in which they are interpreted or applied may alter our business environment. These negative impacts could result from changes in food and drug laws, laws related to advertising and marketing practices, accounting standards, taxation requirements, competition laws, employment laws, import/export requirements and environmental laws, among others. It is possible that we could become subject to additional liabilities in the future resulting from changes in laws and regulations that could result in an adverse effect on our financial condition and results of operations. Political, economic and/or financial market conditions could negatively impact our financial results.
Assistant:
please redraft "This NCR is for everyone to be aware of the problem and take appropriate action, not to blame PTSC.
Furthermore, As NOV confirmed via E-mail, leakage was occurred due to impact damage. Still in question where this impact came from."
How does 2fa protect from pop or impa (my Gmail and Hotmail account)
Отправка JSON уведомления партнеру о результате перевода.
Отправлять при получении сообщения C2B_SBP_SEND_NOTIFICATION через rabbit. Напиши пример для spring boot
The pressure variation in a sound wave is given by
ΔP
 = 0.0030 sin(
 0.17 πx−
 1070 πt)
,
where ΔP
 is in pascals, x
 in meters, and t
 in seconds. Determine the displacement amplitude of the wave.
Express your answer using two significant figures.
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: We sponsor defined benefit pension plans for certain current and former employees in the U.S. and a few pension plans for non-U.S. locations which provide for specified payments after retirement. The major defined benefit pension plans are funded with trust assets invested in a diversified portfolio of securities and other investments. Changes in regulatory requirements or the market value of plan assets, investment returns, interest rates and mortality rates affect the funded status of our defined benefit pension plans and may cause volatility in the net periodic benefit cost, future funding requirements of the plans and the funded status as recorded on the balance sheet. A sustained period of low or insufficient investment returns or low interest rates could require us to fund our pension plans to a greater extent than anticipated. Refer to Note 9 for further discussion.
Assistant:
How we go from one page to another in frontend when you're using shadcn ui
How Freedom planet x dragon ball all characters react to Lilac, Goku and Carol - Booty Slam!
翻译中文，且Junhao是俊浩：As Junhao's teachers, we've truly witnessed his remarkable journey this year. His growth in independence has undoubtedly made him happier at school and more comfortable overall. Each day, he walks into the classroom with a newfound sense of confidence, eager to engage with his peers and the material.
In our classes, Junhao actively participates, bringing a spark of enthusiasm that lights up the room. He loves coming to the front to share his ideas and consistently raises his hand to contribute to discussions. This active involvement not only enhances his learning experience but also encourages his classmates to join in.
Importantly, Junhao has learned to trust all the teachers in our class, which has been a significant milestone for him. We often see him interacting with each of us, asking questions and seeking guidance, reflecting his growing comfort in his learning environment.
Moreover, his English listening skills continue to improve daily. He follows instructions in English with growing ease and, at times, responds verbally, showcasing his progress. He is starting to play more with Mr. Ty and because of this he is trying to communicate with him which will help him greatly. 
We are truly proud of Junhao and all he has accomplished. His dedication and enthusiasm for learning inspire us as educators. Keep up the fantastic work, Junhao! You are doing an Awesome job!
Write 16 new Scooby-Doo episode titles that rhyme based on a theme I choose: (for example rhyming titles like “The Creepy Goon of the Spooky Lagoon”, “The Fiesta Host is an Aztec Ghost”, etc, etc (those are just examples of the rhyming style I want)


Jungle Myths
WELLEX is more than just a jewelry brand—we aim to be a witness and companion during the important moments of your life. Whether it’s adding a touch of sparkle to your everyday or creating beautiful memories for special occasions, WELLEX is always by your side, helping you express your true self through our finely crafted pieces.根据这一段写about us
Send only episode number from below text like 01, 02, 03.etc without any extra text.

43.[@KandThaiDrama] The Legend Of Monkey King (2023) S01E43 480p Hindi Dubbed MX WEB-DL AAC 2.0 ×264.mp4
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: ur net sales, revenues, income from continuing operations, or other results of operations, are subject to, and may be offset by, unfavorable None
Assistant:
The title of the horn button on INSTAGRAM