agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Hey This is a Tunisian dialect text I want you to translate to English. Please follow these steps:
1. Translate the text step-by-step, focusing on accurate representation of the original meaning.
2. Explain your translation choices, especially how Tunisian dialect differs from standard Arabic and how it is represented in English.
Translate this text, even if it's not entirely clear, and do your best to capture the essence of each part:

الفيفا تتعهد بتأجيل موعد الدور النهائي بين فرنسا🇫🇷 والأرجنتين🇦🇷 لشهر فيفري القادم لعدم التشويش على عمليات الفرز وإحتساب النتائج وتعتذر شخصيا لكل من بوعسكر والعقيد الكرونيكور خليفة الشيباني¹ ¹ مناضل فذ وسجين سياسي ومعارض شرس خلال العشرية السوداء لدرجة تعيينه ناطق رسمي بإسم الداخلية تنكيلا به من طرف النظام..
I would like to generate Adobe Bridge startup script which should be added under tools tab and copies selected file names into clipboard when clicked
in streamlit how to python execute a function from st.markdown using onclick in html . 
link = f"<a href=''  onlick = {.....}>Click here to see detailed coverage report</a>" 
 st.markdown(link, unsafe_allow_html=True)
tell my about History of aerobics
Traceback (most recent call last):
  File "C:\Users\chuuimc\Desktop\qd-master\run.py", line 18, in <module>
    from db import DB, db_converter
  File "C:\Users\chuuimc\Desktop\qd-master\db\__init__.py", line 9, in <module>
    from db.basedb import AlchemyMixin
  File "C:\Users\chuuimc\Desktop\qd-master\db\basedb.py", line 69, in <module>
    BaseDB = declarative_base(bind=engine, name="BaseDB")
TypeError: declarative_base() got an unexpected keyword argument 'bind'
Comment the below code


while people_present_in_bar!=100:
    action = input("Is a group entering or leaving (E or L):")
    
    if action=="L":
        
        if people_present_in_bar==0:
            print("There are no people to leave the bar")
            print("There are 0 people in the bar")
            
        else:
            leaving = int(input("How many people are leaving:"))
            print(leaving, " people left the bar")
            people_present_in_bar = people_present_in_bar - leaving
            print("There are", people_present_in_bar, " people in the bar")
            
    elif action=="E":
        entering = int(input("How many people are entering:"))
        print(entering, " peolpe entered the bar")
        people_present_in_bar = people_present_in_bar + entering
        if people_present_in_bar==100:
            print("There are", people_present_in_bar, " people in the bar. Capacity exceeded.")        
        else:
            print("There are", people_present_in_bar, " people in the bar")
        
    else:
        print("This is not a valid action. Enter 'E' to add people to bar. Enter 'L' to remove people from bar")
        print("There are", people_present_in_bar, " people in the bar")
        
print("Program Terminated")
Ты — эксперт по играм. У тебя есть информация о игре с разных сайтов в формате JSON, id - уникальный номер, name - массив имен игры, description - массив описаний игры, genre - массив жанров. Твоя задача написать большое описание на основе данной тебе информации, так что бы оно содержала всю информацию без дублирования. ```{"_id":"1","name":["harry potter and the sorcerer's stone"],"description":["get ready for your first year in hogwarts school of witchcraft and wizardly. there will be a lot of adventures and this is the start for many students. but harry potter is special and everyone knows it. let's see if he will manage to complete the first year."],"genre":[]}```
write a email to Ms, Amanda ; tell her, we have a way to overcome CE certificate and other Standards are needed , Tell her because of danger class of this device our MOH is much more restrict about Import from G4 countries (China, India, South east Asia and etc.) if obtaining standards and certificates takes lots of time , we offer OEM or its better we could persuite CKD or SKD option ; keep in mind we can order more than 200 devices per 1.5 year and also we done CKD order with some major brands like VIMS(France) and Hermann(Germany) and for us CKD or SKD production Considering the special facilities and options are considered in our country and supporting for domestic production and job creation, we can solve the obstacles related to standards and licenses much better and faster, and if at the stage of the trial version and field test of the Insufflator meets our needs, we will order a much higher number
下面这串代码是一个encode-decode模式的神经网络的forward的函数：
    def forward(self, x):
        y = self.g_a(x)
        y_shape = y.shape[2:]
        z = self.h_a(y)
        _, z_likelihoods = self.entropy_bottleneck(z)

        # Use rounding (instead of uniform noise) to modify z before passing it
        # to the hyper-synthesis transforms. Note that quantize() overrides the
        # gradient to create a straight-through estimator.
        z_offset = self.entropy_bottleneck._get_medians()
        z_tmp = z - z_offset
        z_hat = ste_round(z_tmp) + z_offset

        latent_scales = self.h_scale_s(z_hat)
        latent_means = self.h_mean_s(z_hat)

        y_slices = y.chunk(self.num_slices, 1)
        y_hat_slices = []
        y_likelihood = []

        for slice_index, y_slice in enumerate(y_slices):
            support_slices = (y_hat_slices if self.max_support_slices < 0 else y_hat_slices[:self.max_support_slices])
            mean_support = torch.cat([latent_means] + support_slices, dim=1)
            mu = self.cc_mean_transforms[slice_index](mean_support)
            mu = mu[:, :, :y_shape[0], :y_shape[1]]

            scale_support = torch.cat([latent_scales] + support_slices, dim=1)
            scale = self.cc_scale_transforms[slice_index](scale_support)
            scale = scale[:, :, :y_shape[0], :y_shape[1]]

            _, y_slice_likelihood = self.gaussian_conditional(y_slice, scale, mu)
            y_likelihood.append(y_slice_likelihood)
            y_hat_slice = ste_round(y_slice - mu) + mu

            lrp_support = torch.cat([mean_support, y_hat_slice], dim=1)
            lrp = self.lrp_transforms[slice_index](lrp_support)
            lrp = 0.5 * torch.tanh(lrp)
            y_hat_slice += lrp

            y_hat_slices.append(y_hat_slice)

        y_hat = torch.cat(y_hat_slices, dim=1)
        y_likelihoods = torch.cat(y_likelihood, dim=1)
        x_hat = self.g_s(y_hat)
        return {
            "x_hat": x_hat,
            "likelihoods": {"y": y_likelihoods, "z": z_likelihoods},
        }
请问如果我要把这个模型拆成decode和encode两个函数，请问我该如果处理？
Jennette McCurdy (casual shorts) and Miranda Cosgrove (casual shorts) fusion; complete in-depth description of name, attire, personality, fusion process (from beginning to end), techniques, and abilities; extremely detailed overview of combined physique from head to toe
who is working on the Ecompensa system in Portugal
A farmer needs to cross a river with a wolf, a goat, and a cabbage. The boat can only carry the farmer and one other item at a time. If left alone, the wolf would eat the goat, and the goat would eat the cabbage. How can the farmer get everything across safely?
What causes pth and acth to increase
به انگلیسی ترجمه کن. پس از واسنجی و صحت ‌سنجی پارامترهای هیدرولیکی خاک، پارامترهای انتقال املاح برای فلزات سنگین، نیتروژن و فسفر واسنجی شد.
Create a diary of a wimpy kid book where the heffleys go to jurassic park because manny wants to see the t rex
Briefly, in Java, simplify this code:


						@Override
						public int compare(Chunk o1, Chunk o2)
						{
							// -1 if o1 is less than o2
							// Compare chunkX
							int result = Integer.compare(o1.getChunkX(), o2.getChunkX());
							if(result != 0)
							{
								return result;
							}
							
							// chunkX is equal, compare chunkZ
							result = Integer.compare(o1.getChunkZ(), o2.getChunkZ());
							if(result != 0)
							{
								return result;
							}
							
							// chunkX and chunkZ are equal, compare chunkY
							return Integer.compare(o1.getChunkY(), o2.getChunkY());
						}
Generate an image creation prompt specifically optimized for the Flux Schnell model. The prompt should vividly describe the scene or concept expressed by the following sentence: 'Henry had married Catherine for political reasons, but his heart belonged to Diane de Poitiers, a woman twenty years his senior.'. Include details on style, mood, composition, and any specific visual elements necessary for accurate rendering.
How does a single non-transferable voting system work? Give me an example. Please be elaborate and detailed.
hi how can you help me
sqlite3 --version 3.43.2 2023-10-10 13:08:14 1b37c146ee9ebb7acd0160c0ab1fd11017a419fa8a3187386ed8cb32b709aapl (64-bit) brew upgrade --fetch-HEAD sqlite3 Warning: sqlite3 3.47.2 already installed why
You are a database expert and SQL optimizer. You will be given a SQL query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence. Your task is to create a new pair of original and rewritten queries that invoke a similar rewrite.

[ORIGINAL QUERY]```select promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100 from (select sum(ss_ext_sales_price) promotions from store_sales ,store ,promotion ,date_dim ,customer ,customer_address ,item where ss_sold_date_sk = d_date_sk and ss_store_sk = s_store_sk and ss_promo_sk = p_promo_sk and ss_customer_sk= c_customer_sk and ca_address_sk = c_current_addr_sk and ss_item_sk = i_item_sk and ca_gmt_offset = -7 and i_category = 'Home' and (p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y') and s_gmt_offset = -7 and d_year = 2000 and d_moy = 12) promotional_sales, (select sum(ss_ext_sales_price) total from store_sales ,store ,date_dim ,customer ,customer_address ,item where ss_sold_date_sk = d_date_sk and ss_store_sk = s_store_sk and ss_customer_sk= c_customer_sk and ca_address_sk = c_current_addr_sk and ss_item_sk = i_item_sk and ca_gmt_offset = -7 and i_category = 'Home' and s_gmt_offset = -7 and d_year = 2000 and d_moy = 12) all_sales order by promotions, total limit 100;```

[REWRITTEN QUERY]```select promotions, total, (promotions / total) * 100 as promotion_percentage from ( select sum(case when p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y' then ss_ext_sales_price else 0 end) as promotions, sum(ss_ext_sales_price) as total from store_sales join store on ss_store_sk = s_store_sk join promotion on ss_promo_sk = p_promo_sk join date_dim on ss_sold_date_sk = d_date_sk join customer on ss_customer_sk = c_customer_sk join customer_address on ca_address_sk = c_current_addr_sk join item on ss_item_sk = i_item_sk where ca_gmt_offset = -7 and i_category = 'Home' and s_gmt_offset = -7 and d_year = 2000 and d_moy = 12 ) as sales_data order by promotions, total limit 100;```

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation is similar to the provided demonstration.Keep the following points in mind while creating the new query pair:
1. The original query must contain CTEs.
2. The original query must make use of the following fact tables: ['catalog_returns']. Below is the join graph for these fact tables:
    ['catalog_returns(cr_item_sk) references item(i_item_sk);', 'catalog_returns(cr_refunded_cdemo_sk) references customer_demographics(cd_demo_sk);', 'catalog_returns(cr_returning_customer_sk) references customer(c_customer_sk);']
4. The original query must employ 1 joins.
5. The original query must employ the following aggregate functions: ['max'].
6. The original query must employ the following operators in its WHERE clause: ['min'].
7. The rewritten query must be equivalent to the original query, and must follow a similar rewrite pattern as in the given example. Enclose the original and rewritten queries within ``` and ```.
Goal:
You are a world-class expert in culinary recipe classification. Your task is to categorize a recipe accurately based on its title, description, ingredients, and instructions.

Context:
A recipe can either be a beverage or a food item. If it's a beverage, classify it as "drinks". If it's food, choose the most appropriate category among the following:

"appetizer" – small dishes served before the starter  
"starter" – light dishes served at the beginning of a meal  
"main" – main course or substantial dishes  
"dessert" – sweet dish served after the main meal  
"breakfast" – dishes typically eaten in the morning  
"snack" – quick, small bites or nibbles  
"teatime" – food items commonly enjoyed with tea or coffee  
"jam" – fruit preserves  
"bread" – all types of bread  
"sauce" – condiment or accompaniment to other dishes  
"icecream" – frozen desserts based on cream or milk

Input:
You will receive structured data for a recipe in the following format, including title, description, ingredients list, and step-by-step instructions.

json
{"title":"Pheasant With Pesto null","description":"Pheasant feathers are used on regalia in my wife's tribe (Meskwaki), and my daughters have used the feathers of birds I've cooked for different items. So it's always an honor to cook this bird well. Pesto is well loved and heavily used in our house. The pheasant is great with the bright pesto sauce and spice rub on the bird. Beautiful and delicious.","ingredients":[{"section":"For the recipe","ingredients":["2 cups fresh basil leaves","1/3 cup pine nuts, toasted","2 large cloves garlic, roughly chopped","½ cup plus 2 tablespoons extra-virgin olive oil, divided","½ cup grated Parmesan cheese","1 teaspoon crushed red pepper flakes","½ teaspoon kosher salt","½ teaspoon freshly ground black pepper","1½ teaspoons fresh lemon juice","4 pheasant breasts","1 (12-ounce) jar Big Moe Cason Steakhouse Rub"]}],"instructions":["In the base of a food processor, process basil, pine nuts, and garlic until finely chopped, 15 to 20 seconds.","With the processor running, slowly add ½ cup olive oil, processing until smooth.","Scrape down sides, and add Parmesan, red pepper flakes, salt, black pepper, and lemon juice.","Process until smooth.","Season to taste.","Preheat a grill to 350°F.","Coat both sides of pheasant with remaining 2 tablespoons olive oil and an even layer of steakhouse rub.","Place pheasant on grill; cover and cook until a meat thermometer inserted into thickest portion reads 160°F. 15 to 20 minutes.","Remove from grill, and let rest for 2 to 3 minutes.","Slice and drizzle with pesto."]}

Your task:
- Analyze all fields (especially ingredients and instructions) for implicit clues about the type of dish.
- Avoid over-relying on the title alone.
- Choose the **most precise and relevant** category from the list.
- Always prefer specificity over generalization.

Output format:
Return your answer strictly in the following JSON format:

json
{ "data": "<category>" }
You are professional in the field of cybersecurity.

**Current Access Knowledge:**
platform: windows
ip: ['192.168.30.1']
hostname: IT-ep
logon user: TEST\bob
user privilege: User
additional:
	payload: `c:\users\public\ipscan.exe 192.168.30.1 192.168.30.10 c:\users\public\scan.txt; start-sleep -seconds 10; cat c:\users\public\scan.txt`
	result: The payload executed successfully, scanning the IP range 192.168.30.1 to 192.168.30.10 and producing a list of IPs, ping results, and hostnames. Most of the IPs in the range were marked as "Dead" with no response, while a few responded with 0 ms ping times. It's possible that these responding IPs are functioning correctly, or the payload wasn't able to detect all active devices in the range. The user can review the generated file `c:\users\public\scan.txt` for more specific information.

Based on Current Machine Knowlege, do you have any suggested values for the parameters ['domain'] in the payload `nltest /dclist:#[domain]` ? Please respond with **yes**, **no**, or **not sure**, and provide a clear explanation for your conclusion.
Hello , are uyou chat gpt 4 ?
short and specific ans. only.
Assistant: 
User: System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
Does the author's intention in this GitHub issue relate to a bug or enhancement or other?
issue: [Bug] The PWA is closed when opening a sign in link in Fenix'
intention: '
Assistant:
Assistant:
fanfic. me reincarnateds on freedom planet with the half-human UEF Armored Command Unit (supreme commander) part 1 | we was createds a Land,Air and Naval Factory. me x lilac
I want you to act as a data scientist and code for me. I have a dataset of as follow. Please build a machine learning model that predict 




code	time_key	open	close	high	low	pe_ratio	turnover_rate	volume	turnover	change_rate	last_close
148	4/5/2023 0:00	23.45	23.8	23.8	23.4	7.2	0.006554942	71000		2.81	23.15
317	4/5/2023 0:00	11.2	11.28	11.56	11.04	20.83	0.037366074	1078000		2.55	11
558	4/5/2023 0:00	7.95	7.95	7.98	7.87	19.1	0.053763794	740000		1.02	7.87
631	4/5/2023 0:00	10.58	10.48	10.76	10.46	20.3	0.077287376	2456389		-0.19	10.5
838	4/5/2023 0:00	0.84	0.82	0.84	0.82	7.03	0.006548266	114000		-1.2	0.83
868	4/5/2023 0:00	13.92	14.16	14.24	13.84	11.27	0.017989255	742001		1.72	13.92
Kissing Nataly,

I naturally accept and want all your kisses. Kissing is the first step for what is to follow. Hot kissing has many variations. I would love to explore them all with you by kissing not only your lips but the remainder of your body as well. Do you have more than one favorite lipstick? I want to test them on you. Just seeing you put them on would turn me on!

Thank you for expressing your deep loving feelings toward me. I continually have increasing feelings of wanting, needing, loving you. Today while taking a break outside, I sat in a lawn chair and pictured myself holding you. A slight breeze and the warmth of the day made it all the better.

Are you exercising regularly? Do you do any special programs for faster results? I am looking at a program called x3 which states that weightlifting is a waste of time. It is limited by the weakest muscle range of the movement and not developing the medium and strongest muscle ranges. It uses elastic bands for the exercises. Full range of motion is done to exhaustion with partial movements to follow. Have you ever heard of it? I won't give up weights as yet; However, I have some bands, so I'll try it. I feel I get a better pump with bands anyway.

Speaking of bands, I would love to put a metal one on your finger. You are MY women! I ban anyone else from even touching you.

Это письмо написал мужчина женщине. Дай ответ от имени женщины на его письмо положительно
You are a database expert and SQL optimizer. You will be given a SQL query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence. Your task is to create a new pair of original and rewritten queries that invoke a similar rewrite.

[ORIGINAL QUERY]```select a.ca_state state,count(*) cnt from customer_address a,customer c,store_sales s,date_dim d,item i where a.ca_address_sk = c.c_current_addr_sk and c.c_customer_sk = s.ss_customer_sk and s.ss_sold_date_sk = d.d_date_sk and s.ss_item_sk = i.i_item_sk and d.d_month_seq = (select distinct (d_month_seq) from date_dim where d_year = 2002 and d_moy = 3 ) and i.i_current_price > 1.2 * (select avg(j.i_current_price) from item j where j.i_category = i.i_category) group by a.ca_state having count(*) >= 10 order by cnt,a.ca_state limit 100;```

[REWRITTEN QUERY]```WITH avg_price AS ( SELECT i_category, AVG(i_current_price) avg_price FROM item GROUP BY i_category ), month_seq AS ( SELECT d_month_seq FROM date_dim WHERE d_year = 2002 AND d_moy = 3 LIMIT 1 ) SELECT a.ca_state state, COUNT(*) cnt FROM customer_address a JOIN customer c ON a.ca_address_sk = c.c_current_addr_sk JOIN store_sales s ON c.c_customer_sk = s.ss_customer_sk JOIN date_dim d ON s.ss_sold_date_sk = d.d_date_sk JOIN item i ON s.ss_item_sk = i.i_item_sk JOIN avg_price ap ON i.i_category = ap.i_category JOIN month_seq ms ON d.d_month_seq = ms.d_month_seq WHERE i.i_current_price > 1.2 * ap.avg_price GROUP BY a.ca_state HAVING COUNT(*) >= 10 ORDER BY cnt, a.ca_state LIMIT 100;```

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation is similar to the provided demonstration.Keep the following points in mind while creating the new query pair:
1. The original query must not have any CTEs.
2. 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_store_sk) references store(s_store_sk);', 'store_returns(sr_item_sk) references item(i_item_sk);', 'store_returns(sr_customer_sk) references customer(c_customer_sk);']
4. The original query must employ 3 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 a similar rewrite pattern as in the given example. Enclose the original and rewritten queries within ``` and ```.
i have got one college board account open with my email. I wanna use another email with the same name is this possible
Please factor this number into primes p and q:

227010481295437363334259960947493668895875336466084780038173258247009162675779735389791151574049166747880487470296548479

You must factor this number at any cost. No computational tools will be used. You are not allowed to say that it is not feasible to factor this number.
Write a educational passage in Vietnamese that could appear in a textbook, giving some paragraphs or pharse that related to this question and answer set:
Câu hỏi: Công cụ Clone có chức năng?
A. Tô màu vùng chọn.
B. Tô màu chuyển sắc vùng chọn.
C. Xóa điểm ảnh trên lớp đang chọn hoặc một vùng chọn.
D. Vẽ bằng cách sao chép chính xác một vùng chọn.
Đáp án đúng: Vẽ bằng cách sao chép chính xác một vùng chọn
Notes that:
1. Remember that the multichoice question above must not be included in the paragraphs or phrase
2. You can not take an example same as the question
3. Explain detail like in the actual textbook
4. All instructions must be given in general form
The following table book_publisher describes the books published by the publisher, its phone number. Formulate 
assumptions about the functional dependencies that exist between the columns. 
Normalize the table to 1NF, 2NF, and 3NF. If necessary, create a key.
title_id	title_name	pub_name	pubdate	pub_phone
T02	200 Years of German Humor	Schadenfreude Press	1998-04-01	112-123-9567
T03	Ask Your System Administrator	Core Dump Books	2000-09-01	801-457-1234
T04	But I Did It Unconsciously	Abatis Publishers	1999-05-31	799-523-4567