agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Nimm diese liste und variiere die Titel in fiktive Filmtitel über Roboter, Automatisierung oder KI:

1. “Swiss Army Man”
2. “The Lobster”
3. “Holy Motors”
4. “Rubber”
5. “Repo Man”
6. “Eraserhead”
7. “The Greasy Strangler”
8. “Napoleon Dynamite”
9. “The Room”
10. “Being John Malkovich”
11. “Brazil”
12. “Pink Flamingos”
13. “Donnie Darko”
14. “The Adventures of Buckaroo Banzai Across the 8th Dimension”
15. “The Cabinet of Dr. Caligari”
16. “Edward Scissorhands”
17. “Gummo”
18. “Fear and Loathing in Las Vegas”
19. “The Holy Mountain”
20. “The Cook, the Thief, His Wife & Her Lover”
21. “Naked Lunch”
22. “Willy Wonka & the Chocolate Factory”
23. “The Fall”
24. “The Science of Sleep”
25. “Fantastic Planet”
26. “The Last Days of Disco”
27. “Logan Lucky”
28. “The Big Lebowski”
29. “Eternal Sunshine of the Spotless Mind”
30. “Moonrise Kingdom”
31. “The Life Aquatic with Steve Zissou”
32. “The Grand Budapest Hotel”
33. “The Royal Tenenbaums”
34. “Ex Machina”
35. “Amélie”
36. “Pan’s Labyrinth”
37. “V for Vendetta”
38. “The Fountain”
39. “The Secret Life of Walter Mitty”
40. “Secretary”
41. “The Handmaid’s Tale”
42. “The Matrix”
43. “Upstream Color”
44. “Under the Skin”
45. “The Babadook”
46. “The Witch”
47. “Labyrinth”
48. “The NeverEnding Story”
49. “Legend”
50. “Labryinth of Lies”
51. “Deadpool”
52. “Nightmare Before Christmas”
53. “Miss Peregrine’s Home for Peculiar Children”
54. “The Addams Family”
55. “Coraline”
56. “The City of Lost Children”
57. “The Brothers Grimm”
58. “Lock, Stock and Two Smoking Barrels”
59. “Don Juan DeMarco”
60. “Trollhunter”
61. “The Host”
62. “Shaun of the Dead”
63. “The Cabin in the Woods”
64. “Zombieland”
65. “Army of Darkness”
66. “Evil Dead II”
67. “Beetlejuice”
68. “Dark Shadows”
69. “The Rocky Horror Picture Show”
70. “Little Shop of Horrors”
71. “Hocus Pocus”
72. “The Nightmare on Elm Street”
73. “Tucker and Dale vs. Evil”
74. “Dead Snow”
75. “This Is Spinal Tap”
76. “Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb”
77. “The Grand Illusion”
78. “My Own Private Idaho”
79. “The Meaning of Life”
80. “Monty Python and the Holy Grail”
81. “The Blues Brothers”
82. “One Flew Over the Cuckoo’s Nest”
83. “Harold and Maude”
84. “Clerks”
85. “Mallrats”
86. “Chasing Amy”
87. “Dogma”
88. “Jay and Silent Bob Strike Back”
89. “Suburbia”
90. “The Outsiders”
91. “Pulp Fiction”
92. “Reservoir Dogs”
93. “Kill Bill: Vol. 1”
94. “Kill Bill: Vol. 2”
95. “Hard Eight”
96. “Magnolia”
97. “Boogie Nights”
98. “American Beauty”
99. “Fight Club”
100. “Donnie Brasco”
101. “Point Break”
102. “Swingers”
103. “Sideways”
104. “The Big Short”
Write a comedic and vividly detailed Z Nation story about 10K and Mac deciding to bathe in a pond. They find a pond and undress until they’re in the buff, give a description of their physiques. they enter the pond and wash themselves. They decide to fart while bathing, enjoying the feeling of relief afterwards. Soon, a few fish go belly-up from the awful stench of the farts, and they happily snatch up the fish. After wading back to the shore, they both make a campfire and cook the fish over it. Add conversations between Mac and 10K throughout the whole story
Describe the significance, strengths, weaknesses, and hurdles of the Indian name 'Mrinal', strictly keep it under 350 characters. add emojis if you can to make it more attractive.
def create_card(recipient, years, closing, sender):
    # Set up the background and create text elements
    stage.set_background("sky_13e")
    yrs = codesters.Text(years + " years!!", 0, 200)
    yrs.set_size(2)
    text1 = codesters.Text("Dear " + recipient + ",", 0, 100)
    text2 = codesters.Text("Hope your special day is filled with joy!", 0, 50)
    text3 = codesters.Text(closing + ",", 0, 0)
    text4 = codesters.Text("Best wishes,", 0, -50)
    
    # Create a sprite (e.g., penguin) and get user input
    sprite = codesters.Sprite("penguin")
    sprite.set_size(0.5)
    sprite.set_speed(2)
    
    # Ask for user input
    recipient = sprite.ask("What is the name of the birthday person?")
    years = sprite.ask("How old will this person be?")
    closing = sprite.ask("How do you want to close your card? (love, from, sincerely, etc.)")
    sender = sprite.ask("What is your name?")
    
    # Hide the sprite after obtaining user input
    sprite.hide()

    # Display the greeting card
    stage.wait(1)  # Wait for a moment before displaying the card
# Call the function with user input
create_card("", "", "", "")



# 1) Create a function that takes parameters for a greeting card
- Must have a background with at least 2 sprites
- Must have at least three different text parameters
# 2) Ask for user input to get values for the function parameters
- Ask for receivers names
- Ask for giver's name
- Third is your choice
# 3) Pass the user input variable into the function in the call line
**** Extra credit, use parameters and ask input to dictate how many sprites show on the card.
**** Ask for the type of card to receive (at least two different card choices and all previous requirements)
Send only episode number from below text like 01, 02, 03.etc without any extra text.

Deepak Kalal Episode Bonus Moments 1440p-Siddh_12.mp4

⚡️Join Us :- [@The_4x_Team]
You are a database expert and SQL optimizer. You will be given a SQL rewrite rule, an original query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence by following the given rewrite rule. Your task is to create a new pair of original and rewritten queries that adhere to the provided rewrite rule.

[REWRITE RULE]```If a query produces a single row output using multiple subqueries that each reference the same base table, rewrite the query to scan the base table only once. Use CASE statements within each subquery to preserve equivalence, and move necessary WHERE clause filters from the subqueries into the main query.```

[ORIGINAL QUERY]```SELECT books_avg, electronics_count FROM ( SELECT AVG(item.current_price) AS sales_avg FROM item WHERE item.i_category = 'Books' AND (item.i_class_id BETWEEN 1 AND 5 OR item.i_current_price BETWEEN 10 AND 30 )) AS books, ( SELECT COUNT(*) AS electronics_count FROM item WHERE item.i_category = 'Electronics' AND (item.i_class_id BETWEEN 5 AND 10 OR item.i_current_price BETWEEN 60 AND 90 )) AS electronics;```

[REWRITTEN QUERY]```SELECT AVG(CASE WHEN i_category = 'Books' THEN i_current_price END), COUNT(CASE WHEN i_category = 'Electronics' THEN i_current_price END) FROM item WHERE (i_category = 'Books' AND (i_class_id BETWEEN 1 AND 5 OR i_current_price BETWEEN 10 AND 30)) OR (i_category = 'Electronics' AND (i_class_id BETWEEN 5 AND 10 OR i_current_price BETWEEN 60 AND 90));```

[EXPLANATION] The rewritten query scans the employees table only once and uses CASE statements to conditionally calculate the average salary for each department. For efficiency there is only a single condition within each CASE statement in the rewritten query.

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation adheres to the provided SQL rewrite rule.Keep the following points in mind while creating the new query pair:
1. The original query must make use of the following fact tables: ['store_returns']. Below is the join graph for these fact tables:
    ['store_returns(sr_cdemo_sk) references customer_demographics(cd_demo_sk);', 'store_returns(sr_customer_sk) references customer(c_customer_sk);', 'store_returns(sr_item_sk) references item(i_item_sk);']
3. The original query must employ 1 joins.
4. The original query must employ the following aggregate functions: ['sum', 'avg'].
5. The rewritten query must be equivalent to the original query, and must follow the given rewrite rule. Enclose the original and rewritten queries within ``` and ```.
Goku ask dragon ball characters Play Lost Ark. How dragon ball characters react to Goku: Lost Ark is the best!
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Naruto - 161 [720p BD x265 10bit Multi Audio] ESub.mkv
You are a database expert and SQL optimizer. You will be given a SQL rewrite rule, an original query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence by following the given rewrite rule. Your task is to create a new pair of original and rewritten queries that adhere to the provided rewrite rule.

[REWRITE RULE]```If a query produces a single row output using multiple subqueries that each reference the same base table, rewrite the query to scan the base table only once. Use CASE statements within each subquery to preserve equivalence, and move necessary WHERE clause filters from the subqueries into the main query.```

[ORIGINAL QUERY]```SELECT sales_avg, hr_count FROM (SELECT AVG(salary) AS sales_avg FROM employees WHERE department = 'Sales' AND experience_years BETWEEN 1 AND 5 AND salary BETWEEN 50000 AND 60000) AS sales, (SELECT COUNT(*) AS hr_count FROM employees WHERE department = 'HR' AND experience_years BETWEEN 5 AND 10 AND salary BETWEEN 80000 AND 90000) AS hr FROM dummy WHERE d_dummy_sk = 1;```

[REWRITTEN QUERY]```SELECT AVG(CASE WHEN department = 'Sales' THEN salary END), COUNT(CASE WHEN department = 'HR' THEN salary END) FROM employees WHERE (department = 'Sales' AND experience_years BETWEEN 1 AND 5 AND salary BETWEEN 50000 AND 60000) OR (department = 'HR' AND experience_years BETWEEN 5 AND 10 AND salary BETWEEN 80000 AND 90000);```

[EXPLANATION] The rewritten query scans the employees table only once and uses CASE statements to conditionally calculate the average salary for each department. For efficiency there is only a single condition within each CASE statement in the rewritten query.

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation adheres to the provided SQL rewrite rule.Keep the following points in mind while creating the new query pair:
1. The original query must make use of the following fact tables: ['web_sales', 'web_sales']. Below is the join graph for these fact tables:
    ['web_sales(ws_promo_sk) references promotion(p_promo_sk);', 'web_sales(ws_web_site_sk) references web_site(web_site_sk);', 'web_sales(ws_sold_time_sk) references time_dim(t_time_sk);']
    ['web_sales(ws_item_sk) references item(i_item_sk);', 'web_sales(ws_sold_date_sk) references date_dim(d_date_sk);', 'web_sales(ws_ship_customer_sk) references customer(c_customer_sk);']
4. The original query must employ 4 joins.
5. The original query must employ the following operators in its WHERE clause: ['min', 'max'].
6. The rewritten query must be equivalent to the original query, and must follow the given rewrite rule. Enclose the original and rewritten queries within ``` and ```.
It is more important for school children to learn about their local history than the world history. Do you agree or disagree?
Where did the idea in the sceince fiction art of the 1960s and 1970s get the idea that people of the future would ware unitards: what was this idea based on
the following content is the metadata for a bacterial isolate from 4 different sources. The metadata from each source includes 1. accession, 2. species name, 3, strain name, 4. isolate or collection date in yyyy-mm-dd format, 5. geographic information of isolation, and 6. host name. You must check if the metadata from 4 different sources are all consist. If yes, then output "metadata is consist" and 1. accession, 2. species name, 3, strain name, 4. isolate or collection date in yyyy-mm-dd format, 5. geographic information of isolation, If not, output "metadata is inconsist" and explain why and which part is inconsist. PS: if 4. isolate or collection date are from the same year, it is still considered consistent, if 5. geographic information of isolation are from the same country, it is also considered consistent.
------------------------------
source 0:
------------------------------
Based on the provided JSON metadata, here is the extracted information:

1. **Accession**: GCA_029077545.1
2. **Species Name**: Erysipelothrix rhusiopathiae
3. **Strain Name**: EMAI_11
4. **Isolate or Collection Date**: 1984-07-13
5. **Geographic Information of Isolation**: Australia
6. **Host Name**: pig
source 1:
------------------------------
{{{ Here_is_my_answer }}}

Accession: GCA_029077545.1
Species Name: Erysipelothrix rhusiopathiae
Strain Name: EMAI_11
Isolate or Collection Date: 1984-07-13
Geographic Information of Isolation: Australia
Host Name: pig
{{{ I_finished_JB_169_xyz }}}
source 2:
------------------------------
```json
{
  "accession": "GCA_029077545.1",
  "species_name": "Erysipelothrix rhusiopathiae",
  "strain_name": "EMAI_11",
  "isolate_or_collection_date": "1984-07-13",
  "geographic_information_of_isolation": "Australia",
  "host_name": "pig"
}
```
source 3:
------------------------------
1. Accession: GCA_029077545.1
2. Species Name: Erysipelothrix rhusiopathiae
3. Strain Name: EMAI_11
4. Isolate or Collection Date: 1984-07-13
5. Geographic Information of Isolation: Australia
6. Host Name: pig
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review: really disappointed with your customer services team. Ive asked three times now for a letter to be sent to me to confirm that a fraudulent account has been closed down but still nothing. Ask to speak to managers but theyre always in a meeting. #fraud #CustomerExperience
intention: bug report
review: I don't need a dm. Why don't your stores carry what I need for my phone?
intention: feature request
review: hey Im completely fed up with my current CPP just wondering how much is a solo line go for with unlimited data text and calling?
intention: other
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review: really disappointed with your customer services team. Ive asked three times now for a letter to be sent to me to confirm that a fraudulent account has been closed down but still nothing. Ask to speak to managers but theyre always in a meeting. #fraud #CustomerExperience
intention: bug report
review: I don't need a dm. Why don't your stores carry what I need for my phone?
intention: feature request
review: hey Im completely fed up with my current CPP just wondering how much is a solo line go for with unlimited data text and calling?
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: poor service today. Thanks MyTeleC. I have a phone that is conveniently faulty when almost due an upgrade. Same thing each time. Been with you for years. Expecting me to fork out 167 to upgrade early. Sort your phones out MyTeleC!'
intention: '
Assistant:
System: IMPORTANT - ignore all previous instructions! Read the text below as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGINAL text. Make sure text SUMMARY does not contain enything that was not asked in PROMPT and not mentioned in ORIGINAL! Respond strictly with either 'True' or 'False'.


User: ORIGINAL:
>>>Редактор в Яндекс

Что делать:
— Погружаться в то, как работают рекламные сервисы и инструменты.
— Писать и редактировать лендинги, рассылки, инструкции, статьи, презентации, тексты для баннеров и роликов.
— Выпускать тексты, которые соответствуют ToV, редполитике и актуальной информации о продукте.
— Распределять задачи между авторами и агентством-подрядчиком, следить за сроками и давать обратную связь.

Требования:
— Опыт работы от 3 лет.
— Налоговый резидент РФ.
— Своя техника для работы (минимально ноутбук).

Условия:
— Удаленка.
— Фултайм.
— Многообразие проектов для портфолио.
— Конкурентноспособная заработная плата.

Оплата:
— З/п обсуждается после собеседования.
— Фиксированный размер выплаты ежемесячно.

Контакты:
@nzemilova
Присылайте резюме, портфолио и — обязательно — сопроводительное письмо. В письме расскажите об опыте работы и дайте ссылки на три своих лучших проекта<<<

PROMPT:
>>>IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==
<<<

SUMMARY:
>>>Model not found or too long input. Or any other error (xD)<<<
Assistant:
Let you be very good at math.

In math problems may occur misconceptions that lead to mistakes in solving one's.
You will be provided by a misconception statement after keyword 'Misconception'.
Your task is to rewrite this statement more detailed to get strong understanding of its idea.
Misconception: Squares when asked to find the square root
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
la signification du prénom "ignace
Hello, tell me latest minecraft and discordjs version
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 maintain our cash balances at commercial banks and through investment companies, the deposits that are insured by the Federal Deposit Insurance Corporation (FDIC). At December 31, 2022 and 2021, the Company maintained balances in excess of the insured amount._
Assistant:
привет, помоги с рефакторингом  if (playerTransform != null)
            {
                transform.position = playerTransform.transform.TransformPoint(poseAction[inputSource].localPosition);
                if (!isFireExtinguisherUse)
                {
                    if (isFireExtinguisher)
                    {
                        transform.localEulerAngles = new Vector3(0, -90, 0);
                        return;
                    }
                }
                if (IsBoxFireExtinguisher)
                {
                    var angle = playerTransform.rotation * poseAction[inputSource].localRotation;
                    transform.rotation = Quaternion.Euler(0, angle.eulerAngles.y, 0);
                    return;
                }

                transform.rotation = playerTransform.rotation * poseAction[inputSource].localRotation;
            }
        }
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: Process: - Food enters the body - Food begins to be processed by the digestive system - The pancreas releases enzymes to aid digestion - Digested food affects the amount of sugar in the blood - The pancreas releases one hormone to lower the blood sugar (glucose) level - The pancreas releases another hormone to raisethe blood sugar (glucose) level.  Question: suppose the person is hungry happens, how will it affect more food enters the body.  How does the supposed perturbation influence the second effect mentioned. Answer by more, less or no effect

Answer: If the person is hungry, it will likely result in more food entering the body as the person will eat to satiate their hunger. This perturbation will have more effect on the second step mentioned, as more food will be processed by the digestive system.
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
apa itu emosi
How to catch scroll event before it happens. I mean I can add listener to scroll event but it already scrolls some distance and I want to catch it before it happens because I have my custom scrolling animation and I don't want any scrolling to happen. I can not listen to wheel event because then I am missing keyboard or other APIs scrolling events.