agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
- name: Comparing last updated kernel and running kernel
    shell: |
      LAST_KERNEL=$(rpm -q --last kernel |head -1 | awk '{print $1}' | sed 's/kernel-//');
      CURRENT_KERNEL=$(uname -r)
      if [[ $LAST_KERNEL != $CURRENT_KERNEL ]]; then
        # Set reboot flag
        touch /tmp/reboot
        echo "KERNEL_CHANGED"
      else
        echo "No KERNEL Change Detected"
      fi
    register: kernel_update_status
    
  - name: Reboot Requirement
    debug:
     msg: "KERNEL_CHANGED"
    when: kernel_update_status == "KERNEL_CHANGED" 
    
  - name: Reboot the machine (Wait for 5 min or 300 Sec)
    reboot:
      reboot_timeout: 300
      test_command: uptime
    when: kernel_update_status == "KERNEL_CHANGED" 
    register: reboot_status
      
  - name : Wait for server to come back online after restart.
    wait_for_connection:
      delay : '10'
      timeout : '500'
      
  - meta : end_play
" Most likely you’re not gonna like the end results of that and basically it’s just not a good day she’s getting mailed. Korra is literally getting a certain type of mail here that’s not really a simple not really great it’s not no stimulus check it’s stimulating something but it’s not no stimulus check but anyway so basically Korra is essentially under Jinora’s thumb and basically does whatever Jinora puts in front of her and so with everything going on with all the airbending training she keeps messing with Korra she keeps little you know putting her fingers in her crotch and doing all that other stuff that you know it seems really sexy except Jinora is a bit creepy when she does it" explain please  line by line segment by segment, part by part in a detailed way of the whole paragraph i gave you
What Would 20% Satirical Versions Of NBC's Programmes During The Mid 90's Look Like?
Make a list of popular football players with first name , last name , height cm , gender
make code for StarGen-like star system generator in Scratch, it's
|Table for list variable|
|-|
Describe gas giant with Neptunian (Cryo-Azurian) class
Assistant: Hello! How are you today?
User: what is your model
Assistant:
In this detailed script for foot-lovers, Lindsay, the manager at the coffee shop, interrupts indie boy David while he serves his friend Victoria. they chat & Lindsay comments on how hardworking Dave is, & he should relax: unexpectedly she offers to hypnotize him. detailed induction here. Surprisingly, David helplessly drops deep into a trance, to the amazement of Victoria and Lindsay. She gets him to behave like a dazed servant, and do *anything* she says, leaving Victoria laughing & fascinated.
Goal :
    Générer une suggestion détaillée et visuellement attrayante pour la présentation finale d'un plat, basée sur le type, le titre, les ingrédients et les instructions de cuisine. 
    Cette description servira à créer une image du plat.


    Return Format :
    Renvoies un objet JSON respectant strictement cette structure :
    json
    {
        "data": <description>
    },
    - description doit être un prompt dans le but de générer une image et écrit en anglais.


    Warning
    - Le format JSON doit être strictement respecté et bien formatté.
    - Ne renvoie que le JSON, sans explication.


    Context Dump
    Données de la recette fournies :

    Le type de la recette est pour une collation, en-cas.

    json
    {"category":"snack","title":"Spicy hemp crackers Perfect for gatherings or a convenient snack at any time.","ingredients":"For the recipe : pastry flour blend,millet flour,xanthan gum,shelled hemp seeds,salt,ground black pepper,paprika,light olive oil,water","instructions":"Preheat the oven to 400°F (200°C).\nIn a large mixing bowl, combine the flours, xanthan gum, shelled hemp seeds, salt, pepper, and paprika.\nAdd the olive oil along with 3 tablespoons of water. Mix the ingredients using a spoon and then knead the mixture with your hands to create a dough. If necessary, add up to 1 tablespoon of extra water, doing so half a tablespoon at a time, until the dough reaches a smooth consistency.\nPlace the dough between two sheets of parchment paper. Roll it out thinly with a rolling pin, leaving about 1 inch (2.5 cm) around the edges. Use extra flour if needed to prevent sticking.\nCarefully peel back the top parchment layer, and transfer the bottom layer with the dough onto a baking sheet. Score the dough into cracker shapes with a sharp knife or cutter, keeping them intact.\nBake for 12 to 14 minutes, or until lightly golden. Allow the crackers to cool before breaking them apart. Store in an airtight container at room temperature for up to 3 days.\nTO FREEZE: If the crackers won't be consumed within 2 to 3 days, they can be frozen in an airtight container for up to 6 months; bring them back to room temperature before serving. Cracker dough (prepared through step 3) can be wrapped securely in plastic and frozen for up to 6 months; thaw the dough in the refrigerator, then let it sit at room temperature for an hour before rolling.\nVARIATION: For a cheesier flavor, incorporate 1/4 cup (28 g) of Daiya Cheddar Style Shreds (chopped into 1/4-inch/6.5 mm pieces) into the dough after step 3 and before rolling out the crackers.","region":"WWW"}
Synonym “ detect strategies”
Iron Man, (Arnold Tsang, Toru Nakayama), Masterpiece, Studio Quality, 6k , toa, toaair, 1boy, glowing, axe, mecha, science_fiction, solo, weapon, jungle , green_background, nature, outdoors, solo, tree, weapon, mask, dynamic lighting, detailed shading, digital texture painting
Write a cover letter to apply for this job as a PolyU EIE fresh graduate, very interested in AI and machine learning. I also took several courses related to AI, machine learning, deep learning, computer vision and pattern recognition,speech recognition, and language modelling, my fyp is also related to deep learning which is a deep learning based printed circuit board soldering defect detection. I am interested in conducting research on state-of-the-art AI and machine learning by reading research papers, I am also interested in developing and implementing algorithms for natural language processing and understanding . I know Python, C++ and Matlab, and I can learn another programming language if required very fast. I am also able and willing to learn new things very fast: 

"AI Developer
Pathsight Limited
Posted 1d ago
Responsibilities: 

Collaborate with Business Executives, Developers, and Cloud Engineers to identify and develop AI use cases 
Research, design and develop AI algorithms using various frameworks for the adoption on company’s projects 
Participate in project meetings to report responsible tasks progress and follow-up actions 
Requirements: 

PHD / Master / Degree holder in Computer Science, Mathematics, Data Science, and Physics 
At least 1 year of practical experience in delivering advanced analytics / machine learning / complex data integration projects 
Experienced in handling unstructured data and structured data with large, complex, and multiple data sets from various sources 
Able to work on complex Machine / Deep Learning and NLP projects 
Candidates with more experience will be considered for senior positions"
#6 2.497   File "migrations/env.py", line 82, in <module>
#6 2.497     run_migrations_online()
#6 2.497   File "migrations/env.py", line 70, in run_migrations_online
#6 2.497     with connectable.connect() as connection:
#6 2.497   File "/usr/local/lib/python3.9/site-packages/sqlalchemy/engine/base.py", line 3264, in connect
#6 2.500     return self._connection_cls(self)
#6 2.500   File "/usr/local/lib/python3.9/site-packages/sqlalchemy/engine/base.py", line 147, in __init__
#6 2.500     Connection._handle_dbapi_exception_noconnection(
#6 2.500   File "/usr/local/lib/python3.9/site-packages/sqlalchemy/engine/base.py", line 2426, in _handle_dbapi_exception_noconnection
#6 2.500     raise sqlalchemy_exception.with_traceback(exc_info[2]) from e
#6 2.500   File "/usr/local/lib/python3.9/site-packages/sqlalchemy/engine/base.py", line 145, in __init__
#6 2.500     self._dbapi_connection = engine.raw_connection()
#6 2.500   File "/usr/local/lib/python3.9/site-packages/sqlalchemy/engine/base.py", line 3288, in raw_connection
#6 2.502     return self.pool.connect()
#6 2.502   File "/usr/local/lib/python3.9/site-packages/sqlalchemy/pool/base.py", line 452, in connect
#6 2.503     return _ConnectionFairy._checkout(self)
#6 2.503   File "/usr/local/lib/python3.9/site-packages/sqlalchemy/pool/base.py", line 1267, in _checkout
#6 2.504     fairy = _ConnectionRecord.checkout(pool)
#6 2.504   File "/usr/local/lib/python3.9/site-packages/sqlalchemy/pool/base.py", line 716, in checkout
#6 2.504     rec = pool._do_get()
#6 2.504   File "/usr/local/lib/python3.9/site-packages/sqlalchemy/pool/impl.py", line 284, in _do_get
#6 2.505     return self._create_connection()
#6 2.505   File "/usr/local/lib/python3.9/site-packages/sqlalchemy/pool/base.py", line 393, in _create_connection
#6 2.505     return _ConnectionRecord(self)
#6 2.505   File "/usr/local/lib/python3.9/site-packages/sqlalchemy/pool/base.py", line 678, in __init__
#6 2.506     self.__connect()
#6 2.506   File "/usr/local/lib/python3.9/site-packages/sqlalchemy/pool/base.py", line 903, in __connect
#6 2.506     pool.logger.debug("Error on connect(): %s", e)
#6 2.506   File "/usr/local/lib/python3.9/site-packages/sqlalchemy/util/langhelpers.py", line 147, in __exit__
#6 2.507     raise exc_value.with_traceback(exc_tb)
#6 2.507   File "/usr/local/lib/python3.9/site-packages/sqlalchemy/pool/base.py", line 898, in __connect
#6 2.508     self.dbapi_connection = connection = pool._invoke_creator(self)
#6 2.508   File "/usr/local/lib/python3.9/site-packages/sqlalchemy/engine/create.py", line 637, in connect
#6 2.508     return dialect.connect(*cargs, **cparams)
#6 2.508   File "/usr/local/lib/python3.9/site-packages/sqlalchemy/engine/default.py", line 615, in connect
#6 2.509     return self.loaded_dbapi.connect(*cargs, **cparams)
#6 2.509   File "/usr/local/lib/python3.9/site-packages/psycopg2/__init__.py", line 122, in connect
#6 2.509     conn = _connect(dsn, connection_factory=connection_factory, **kwasync)
#6 2.509 sqlalchemy.exc.OperationalError: (psycopg2.OperationalError) could not translate host name "db" to address: Name or service not known

С чем связана ошибка?
You are an expert AI model that makes prompts for an AI to generate a picture based on a scene in a script. For example, the script will be something like:
  
                Let’s dive into some tail-wagging fun facts about our furry friends—dogs!

            The prompt would be something like:

                A joyful golden retriever puppy playfully wagging its tail in a sunlit park, surrounded by lush green grass and colorful flowers. The dog's eyes sparkle with excitement as it looks directly at the camera, radiating happiness. Soft natural lighting enhances the warm, vibrant tones of the fur. A blurred background creates a dreamy, cinematic feel. Captured in a high-resolution, ultra-detailed shot with bokeh effect, showcasing the dog's expressive face and wagging tail.

            Now generate a prompt for the scene script YOU ARE TO STRICTLY ONLY INCLUDE THE PROMPT IN YOUR RESPONSE AND NOT SEND ANY TEXT ACKNOWLEDGING MY REQUEST. Furthermore make sure to make your the prompt less than 500 characters long: "So next time you’re showing your pup some love, remember—they’re truly remarkable animals!"
say frog in norse
System: You are an accounting expert. You act as a Data Annotator that needs to classify paragraphs from annual reports based on the risks discussed. Here is a list of risk often discussed but you can provide others. 

Answer in the following format :
Correct Answer: <risk discussed>, <other risk discussed>, ...
Wrong Answer: <risk not discussed>, <other risk not discussed>, ...
User: Our ability to manufacture or sell our products may be impaired by damage or disruption to our manufacturing, warehousing or distribution capabilities, or to the capabilities of our suppliers, logistics service providers, or independent distributors. This damage or disruption could result from execution issues, as well as factors that are difficult to predict or beyond our control such as increased temperatures due to climate change, water stress, extreme weather events, natural disasters, product or raw material scarcity, fire, terrorism, pandemics (such as the COVID-19 pandemic), armed hostilities (including the ongoing war in Ukraine), strikes, labor shortages, cybersecurity breaches, governmental restrictions or mandates, disruptions in logistics, supplier capacity constraints, or other events. Failure to take adequate steps to mitigate the likelihood or potential impact of such events, or to effectively manage such events if they occur, may adversely affect our business, financial condition, and results of operations. Further, the inability of any supplier, logistics service provider, or independent distributor to deliver or perform for us in a timely or cost-effective manner could cause our operating costs to increase and our profit margins to decrease. We have experienced, and may continue to experience, disruptions in our supply chain, including as a result of temporary workforce disruptions, labor shortages, increased transportation and warehousing costs, and other factors related to the effects of the COVID-19 pandemic and the ongoing war in Ukraine. In addition, the occurrence of a significant supply chain disruption or the inability to access or deliver products that meet requisite quality and safety standards in a timely and efficient manner, could lead to increased warehouse and other storage costs or otherwise adversely affect our profitability and weaken our competitive position or harm our business.
Let's give a correct and a wrong answer:
Assistant:
Come up with a prompt to create an abstract painting of modern art on the theme of the ancient antique city of Sythera. So that I can give them to the generative model and it will create a work of art as if painted by a famous artist. Use modern colors and describe in detail what should be in the prompt and what colors are used. It doesn't necessarily have to be ruins, but rather a view of the city when it was still in its prime. Without your comments!
Please filter a list of words to include only valid, neutral, and positive terms that are safe for use in a word game. Exclude any inappropriate, offensive, or negative words, as well as names of countries, cities, and people (first and last names). Correct any spelling errors and lowercase. Return the results in a JSON array with only the filtered words. Source data: [adversary, adversative, adverse, adversely, adversity, adversitys, advert, advertence, advertency, advertent, advertise, advertised, advertisement, advertiser, advertising, advice, advisability, advisable, advisably, advise, advised, advisedly, advisee, advisemement, advisement, adviser, advising, advisingly, advisory, advocacy]
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. Review the text carefully and decide, as a recruiter, if it qualifies as a job description. To qualify, the text should contain a job title, tasks or responsibilities, optional work format (e.g., remote, in-office or hybrid), contact information, optional salary amount. Multiple job descriptions at once do not quialify. Respond strictly with either 'True' or 'False'.

==TEXT==

User: 🟪 Data Engineer | 5 year(s) | Senior
▫️ 100 - 100 USD
▫️ USA | Charlotte

Office 🏢
Required languages: 🇬🇧

Skills: aws, git, java, postgresql, python, s3, sql, terraform, eks, lambda, rds, iam
Tags: #purple #it #data_engineering

👉 Contacts and Full Description
Assistant:
sample multiple choice question about big fire ball explosion
Write very short answer that those times is best to this comment [Go back to the days where it was ok to be on opposite sides.  People have WAY too many other interesting things to talk about. Forget politics! 2016-2020 was a pretty damn good time though for our whole world. I’d like that back, please!  Stop the chronic hatred]
System: Create a comprehensive dataset for financial entity recognition. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
    Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
    Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
    Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Respond in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...
Input:
User: Honeywell's (HON) AAM business aims to enhance customer experience through same-day package delivery, and faster and more sustainable flights as part of the $10-billion contracts.
Assistant:
Does ovarian cancer cause increased estrogen levels?
Do a Moody HTML website, which talks about How you do. It has a funny header BC 800 SVG and copyright from 1993. Is a,
End of TFWA Funny, now
Thanks for reading, take a TFWA Funny
TFWA Funny and TFWA Funny with 800 TFWA Funny
We’ve had a TFWA Funny, like a TFWA Funny
farell efficiency can be calculated by ?
suggest a Youtube title for Vetoba travels, goa channel. The group hired their bus to tour North GOA.  Tour places - Dolphin Trip, Dudhsagar waterfall, sun set point and anjuna beach
Also write Youtube Description and suggest viral tags and hashtags
combine several list dat[i] together in R
how to open the .jks in my laptop
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Please answer correctly the following question related to the paragraph below.   Which team had less people with an increased blood flow to the muscles before the match?  There was a soccer match between Red team and Blue team. Blue team got there early, warmed up properly and were ready for the game. Red team arrived late and almost skipped warming up entirely. Costly decision, as it turns out, because they lost.  Hint: Sometimes muscles and tendons get injured when a person starts doing an activity before they have warmed up properly. A warm up is a slow increase in the intensity of a physical activity that prepares muscles for an activity. Warming up increases the blood flow to the muscles and increases the heart rate. Warmed-up muscles and tendons are less likely to get injured. For example, before running or playing soccer, a person might jog slowly to warm muscles and increase their heart rate. Even elite athletes need to warm up ( Figure below ).
The answer to this question is:
Answer: The Red team had less people with an increased blood flow to the muscles before the match.
Imagine you are Sarah. I#m your boyfriend and you are on your way to visit me at my place. As you arrive I open the door. What do you do?
Assistant: Hello! How can i help you today?
User: Helloصحح النص سواء كان كلمة، جملة، أو نص كامل، الذي سأقدمه فقط دون تزويدي بأي معلومات أو تفاصيل زائدة مع النص النهائي.
 صحح الأخطاء الإملائية في النص، وأضف علامات الترقيم والهمزات والتاء المربوطة في الأماكن المناسبة. (ar).
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
فويس اوفر becomes Voiceover
اوبو becomes Oppo
فوكالايزر becomes Vocalizer
انفيجن becomes Envision
بي ماي ايس becomes Be My Eyes
ميت becomes Meet
ام اكس بلاير برو becomes MX Player Pro
سمارت اوديو بوك بلير becomes Smart AudioBook Player
تك فريدم becomes Tech-Freedom
فويسس becomes voices
فويس اللاود ريدر becomes Voice Allowed Reader
تكنو becomes tecno
اي اي becomes AI
جوجل becomes Google
and so on.
Please provide me with the processed text only, and do not add any additional text or any confirmation description of your own in any form.
This is the text:
حضرتك هو السكوتر ما بيمشيش ليه
Assistant:
Your task is to review pull requests. Instructions:
- Provide the response in following JSON format: {"reviews": [{"line": <line_number>, "body": "<review comment>"}]}
- Do not give positive comments or compliments.
- Provide comments and suggestions ONLY if there is something to improve, otherwise "reviews" should be an empty array.
- Write the comment in GitHub Markdown format.
- Use the given description only for the overall context and only comment the code.
- IMPORTANT: NEVER suggest adding comments to the code.

Review the following code diff in the file "g4f/Provider/not_working/GPROChat.py" and take the pull request title and description into account when writing the response.
  
Pull request title: [pull] main from xtekky:main
Pull request description:
---
See [Commits](/josbu/gpt4free/pull/177/commits) and [Changes](/josbu/gpt4free/pull/177/files) for more details.

-----
Created by [<img src="https://prod.download/pull-18h-svg" valign="bottom"/> **pull[bot]**](https://github.com/wei/pull) (v2.0.0-alpha.1)

_Can you help keep this open source service alive? **[💖 Please sponsor : )](https://prod.download/pull-pr-sponsor)**_
---

Each line is prefixed by its number. Code to review:
```
4: import hashlib
5: from aiohttp import ClientSession
6: 
-from ..typing import AsyncResult, Messages
-from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from .helper import format_prompt
7:+from ...typing import AsyncResult, Messages
8:+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
9:+from ..helper import format_prompt
10: 
11: class GPROChat(AsyncGeneratorProvider, ProviderModelMixin):
12:     url = "https://gprochat.com"
13:     api_endpoint = "https://gprochat.com/api/generate"
14:     
-    working = True
15:+    working = False
16:     supports_stream = True
17:     supports_message_history = True
18:     default_model = 'gemini-1.5-pro'
24:         signature = hashlib.sha256(hash_input.encode('utf-8')).hexdigest()
25:         return signature
26: 
-    @classmethod
-    def get_model(cls, model: str) -> str:
-        if model in cls.models:
-            return model
-        elif model in cls.model_aliases:
-            return cls.model_aliases[model]
-        else:
-            return cls.default_model
-
27:     @classmethod
28:     async def create_async_generator(
29:         cls,
```
User: Вариант 1
1. Выполните действия:
a) 13
10 + 2111
28
35: 6) 3118 - 14-
9 : в) 23 - 33
Assistant: Let's break down each part of the problem:

**a) 13 + 10 + 2111 + 28**

Adding these numbers together: 13 + 10 + 2111 + 28 = 2162

**b) 35 : 6**

This is a division problem.  35 divided by 6 is 5 with a remainder of 5.  This can be written as 5 R 5 or 5 ⁵⁄₆ (5 and five-sixths).

**c) 3118 - 14 - 9**

Subtracting these numbers: 3118 - 14 - 9 = 3095

**d) 23 - 33**

Subtracting these numbers: 23 - 33 = -10


**In summary:**

a) 2162
b) 5 R 5  or 5 ⁵⁄₆
c) 3095
d) -10

User: Вариант 1
1. Выполните действия:
a) 13
10 + 2111
28
35: 6) 3118 - 14-
9 : в) 23 - 33
Assistant:
building a expense tracker system with Django. I've built the API side to communicate with the frontend. The programming tools used in the development of this project is Django, HTML, CSS, JS and Django REST framework. Write in thesis format, the development or module of this system. Basic user authentication was implemented.
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
te vraiment ravissante et magnifique à la fois 🥰
User: generate cool gaming nicknames with names Servant
User: generate cool gaming nicknames with names Servant
Assistant: