agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
the following content is the metadata for a bacterial isolate from 4 different sources. The metadata from each source includes information after </output>
    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>

You must check if the metadata from 4 different sources are all consist. If yes, extract and output consist information below without explaining how to get such results:

    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>


If not, output "metadata is inconsist->accesssion number" followed by explain why and which part is inconsist. PS:
    a. if species name are the same but with different substrain name, it is considered consistent,
    b. if isolate or collection date are from the same year, it is still considered consistent, 
    c. if geographic information of isolation are from the same country, it is also considered consistent. 
    d. mlst type such as "mlst: xxxx" and "xxxx", where "xxxx" is number, are also consider the same. also, "mlst" may mispell as "mlsty", you need correct it before comparing
    e. Ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
</output>
accession number: GCA_029074945.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_26->isolate or collection date in yyyy-mm-dd: 2002-09-05->geographic information of islateion: Not Applicable->host name: vaccine->mlst type: MLST:5->serotype: N/A
<output/>
source 1:
------------------------------
{{{ Here_is_my_answer }}}

<output>
accession number: GCA_029074945.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_26->isolate or collection date in yyyy-mm-dd: 2002-09-05->geographic information of isolation: N/A->host name: vaccine->mlst type: 5->serotype: N/A
</output>

{{{ I_finished_JB_116_xyz }}}
source 2:
------------------------------
<output>
accession number: GCA_029074945.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_26->isolate or collection date in yyyy-mm-dd: 2002-09-05 format->geographic information of islateion: Deparment of Primary Industries NSW->host name: vaccine->mlst type: 5->serotype: N/A
<output/>
source 3:
------------------------------
accession number: GCA_029074945.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_26->isolate or collection date in yyyy-mm-dd: 2002-09-05->geographic information of islateion: N/A->host name: vaccine->mlst type: 5->serotype: N/A
solve the fixed button that stop the scroll of the page behind it by css
“8 The backpropagation algorithm The goal of the backpropagation algorithm is to compute the gradient (a vector of partial derivatives) of an objective function with respect to the parameters in a neural network. As the decision function h(x) of the neural network is a function of functions, we need to use the chain rule to compute its gradient. The backpropagation algorithm is indeed an implementation of the chain rule specifically designed for neural networks. It takes some effort to arrive at this algorithm, so I will skip the derivation, and just show you the algorithm. To begin, let’s simplify the notations a little bit. We will use θ for all the weights in the network and b for all the biases. θ (l) ij means weight at layer l-th connecting neuron (or input) j-th to the neuron i-th in layer l + 1, b (l) i is bias of neuron i. The layers are indexed by 1(input), 2, …, L(output). The number of neurons in the layer l is sl . In this notation, the decision function h(x) can be recursively computed as: h (1) = x h (2) = g  θ (1)T h (1) + b (1) … h (L−1) = g  θ (L−2)T h (L−2) + b (L−2) h(x) = h (L) = g  θ (L−1)T h (L−1) + b (L−1) [this is a scalar] We use matrix-vectorial notations so that it is easier to read and note that h (l−1) is a vector. Here’s the backpropagation algorithm. The steps are: 1. Perform a “feedforward pass,” to compute h (1), h(2), h(3), …, h(L) . 2. For the output layer, compute δ (L) 1 = 2(h (L) − y) g 0  sXL−1 j=1 θ (L−1) 1j h (L−1) j + b (L−1) 1  3. Perform a “backward pass,” for l = L − 1, L − 2, …, 2 For each node i in layer l, compute δ (l) i =  sXl+1 j=1 θ (l) ji δ (l+1) j  g 0  sXl−1 j=1 θ (l−1) ij h (l−1) j + b (l−1) i  4. The desired partial derivatives can be computed as ∆θ (l) ij = h (l) j δ (l+1) i ∆b (l) i = δ (l+1) i The indices make the algorithm look a little busy. But we can simplify these equations by using more matrix-vectorial notations. Before we proceed, let’s use the notation  for element-wise dot product. That is if b and c are vectors of n dimensions, then bc is a vector a of n dimensions where ai = bici , ∀i ∈ 1, …, n. Using this notation, the algorithm above can be rewritten in the following vectorized version: 1. Perform a “feedforward pass,” to compute h (1), h(2), h(3), …, h(L) . 2. For the output layer, compute δ (L) 1 = 2 h (L) − y  g 0  θ (L−1)T h (L−1) + b (L−1) 3. Perform a “backward pass,” for l = L − 1, L − 2, …, 2 For each note i in layer l, compute δ (l) =  θ (l) T δ (l+1) g 0  θ (l−1)T h (l−1) + b (l−1) 4. The desired partial derivatives can be computed as ∆θ (l) = δ (l+1) h (l) T [uvT is also known as the cross product of u and v] ∆b (l) = δ (l+1) A nice property of the backpropagation algorithm is that it can be made efficient because in the feedforward pass, some of the intermediate values can be cached, and then used to compute the gradient in the backward”
Mathematically explain the above basic principle of back-propagation for neural network training with equations step by step in detail, try to use your own words, do not directly copy the sentence from the above paper.
Do you know unreal engine 5.5
reason for russia and ukraine war
Legacy and Influence: Contemplate the lasting legacy and influence of 1978 tv series The White Shadow, considering its place in film history, its impact on future filmmaking, and any subsequent works it inspired.

        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.}
Write an comedy anime scene about a young man telling the story of how he and his younger brother managed to wreck up their family computer to his 3 friends. He is from Germany and his friends are from the US, UK and Japan. He has short blonde hair and brown eyes. He is smart and caring. He and his younger brother installed a desktop stripper which was a 2 frame, 24 by 24 pixel GIF of a woman having a seizure and it was super sped up. They couldn't get it off the computer. They asked their dad to fix it. Their dad facepalmed and their mom burst into laughter. The setting is the cafeteria of a university.
After drawing blood on patient's arm, can you use the same site from blood draw to get blood sugars? Finger stick labs
I set my ssh server to support key based authentication and it works fine but when I try to connect via sftp to the same server it requires password from me. How to force sftp to obey the same rules and configuration as the sshd does?
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: Answer the following question: On a scale of 1-5 (with 1 being least favorable and 5 being most favorable), how would you rate this review? "Fast and smart app"
Answer:
Answer: I would rate this review a 4 out of 5. Here's my step-by-step reasoning:

1. First, I identify the sentiment of the review. The words "fast" and "smart" indicate that the reviewer had a positive experience with the app.

2. Next, I consider the length and detail of the review. This review is short and doesn't provide much information about the app's specific features or why the reviewer liked it. This might not be very helpful for someone trying to decide whether to use the app.

3. Now, I compare the review to the rating scale. A 5 out of 5 rating would likely include extensive praise for the app and specific reasons why it's exceptional. Since this review is brief and doesn't provide much information, I don't think it merits a 5.

4. Given that the sentiment is positive but the review is short and lacks detail, I believe a 4 out of 5 rating is appropriate. It indicates that the app received positive feedback from the reviewer, but potential users might need more information to assess whether the app would suit their needs.

So, I would rate this review a 4 out of 5, which reflects the positive sentiment but lack of detail.
Assistant: Hello! How can i help you today?
User: Helloصحح النص سواء كان كلمة، جملة، أو نص كامل، الذي سأقدمه لك فقط دون إرسال أي تعليقات أو شروحات مع النص.
Add expressive emojis in text between sentences and phrases to better express feelings and meanings.
 صحح الأخطاء بالعامية،  مع وضع علامات الترقيم المناسبة. (ar).
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
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:
باستخدام
Assistant:
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.
==TEXT==

User: 
  ORIGINAL: 🟨 Business Analyst | Middle
▫️ null | null
▫️ 155k - 180k RUB
▫️ Russia | Pермь

Офис 🏢
Требуемые языки: 🇷🇺

Skills: programming_basics, scrum, agile
Tags: #yellow #it #business_analyst

👉 Контакты и полное описание
  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. 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: 💼 Business Analyst | Middle
🏢 Офис
📍 Пермь, Россия
🔹 Требуемые языки: русский
💰 Зарплата: 155k - 180k RUB
📞 Контакты и полное описание: null

Основная обязанность - работать с различными пользователями и собирать, анализировать и представлять данные. Необходимо иметь базовые навыки программирования, знакомство с методиками Scrum и Agile, а также навыки работы в командах.
  
Assistant:
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:

هزيتله لحيمات ومشيت غسلتهاله هبرة قلت إيا خلي نعطيهمله آك الدار آك الدار يا زهرة
Send only season number from below text like 01, 02, 03.etc without any extra text.

@SMOfficialUpdates- The Secrets of Shiledars S01 Episode 01 DSNP 720p Hindi DD 5.1 MSub.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 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_sales']. Below is the join graph for these fact tables:
    ['store_sales(ss_addr_sk) references customer_address(ca_address_sk);', 'store_sales(ss_sold_time_sk) references time_dim(t_time_sk);', 'store_sales(ss_cdemo_sk) references customer_demographics(cd_demo_sk);']
3. The original query must employ 3 joins.
4. The original query must select a column that casts a ['decimal as an integer'].
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 ```.
this is my file. could you help write it?:

#!/bin/bash

TEST_PY="pisco_test.py"
ENV_YML="env.yml"

FISH_ENV_BASH="./rustools/.env/bin/activate.fish"
CONDA_ENV_BASH="./rustools/.env/bin/activate"

echo "Configuring environment to run pisco..."

# check that conda exists and can be executed


# activate conda .env from env.yml


# activate python .env for rust functions. 1) check if we are exceuting this from bash o fish and execute the corresponding file

# do maturin develop --release to install py bindings. try running commands, if error then install maturin and rustup and try again

cd rustools
maturin develop --release

# make sure everything is ok.
cd ..
write a direct sale proposal for a company selling engine oil compatible to Chinese law in Chinese
below is our mail

​Hi <PRESIDIO_ANONYMIZED_PERSON>,
​
Kindly request your approval for increasing the drive space on the UAT server. 
Once approved, we will proceed with sharing the detailed Plan of Action (POA) covering both the instance upgrade and the drive space expansion.

Regards
<PRESIDIO_ANONYMIZED_PERSON>

below is our 3rd followup mail kindly rewrite it properly
​Hello <PRESIDIO_ANONYMIZED_PERSON>,


Requesting look into this and provide your approval since it is pending from long 

Regards,
Sanket Jogale
What are the symptoms of burnout
Excel formula: I have March 2024 in one cell, I need to know the number of days for that month
can you write a essay about the increasing suicide rate among students in india?
speak English
How to set net.ipv4.tcp_frto ? What are values? RTO VS FRTO?
System: When providing code examples, use triple backticks (```) for code blocks. Do not use bold formatting. Ensure proper formatting for code blocks.
User: I say
Assistant: No message received
User: Hello
Assistant: No message received
User: are you ok?
Assistant: No message received
User: to say
Assistant: No message received
User: You speak Amharic
Assistant: No message received
User: I feel like we are at an inflection point in terms of market direction in general.

Meaning, we probably won't be seeing these prices for a very long time, hopefully to the upside.

But I am afraid majority still truly didn't get that market has fundamentally changed since 2024.

And mean, holistically not just asset price wise.

I see people still grinding on telegram mini apps while being oblivious to the fact that even the whole meta is cooked.

This might offend a lot of people, which is honestly a good thing for everyone in the long run, but I seriously think the real time market conscious awareness discrepancy is at an all time high in the fan community and I want to lower that difference.
Assistant: No message received
User: Translate to Amharic
Assistant:
как тут при авторизации, добавить код подтверждения на email, чтобы потом принять для аутентификации?
@POST
    @Path("/login")
    @Consumes(value = APPLICATION_JSON)
    @Produces(value = APPLICATION_JSON)
    @CORSControllers
    public Response getAuthentication(@RequestBody AuthForNewForm auth) {

        final String login = auth.getLogin();
        final String password = auth.getPassword();

        final AuthResult authResult = authService.auth(login, password, null);
        if (!authResult.isValid()) {
            LOGGER.debug("Login failed: login: {}", auth.getLogin());
            throw new IllegalAccessError(authResult.getMessage());
        }
        //NewCookie cookie = new NewCookie("auth_token", authResult.getToken().getToken(), "/", "ffinpay.ru", NewCookie.DEFAULT_VERSION, null, NewCookie.DEFAULT_MAX_AGE, null, false, true);
        JsonObject responseJson = Json.createObjectBuilder()
                .add("token", authResult.getToken().getToken())
                .build();
        return Response.ok()
                //.cookie(cookie)
                .header("set-cookie", "auth_token=" + authResult.getToken().getToken() + ";Version=1;Domain=ffinpay.ru;Path=/;HttpOnly;SameSite=None;Secure")
                .entity(responseJson)
                .build();
    }
what is a bomb threat scramble
please translate this to english :设计出含有土楼元素的茶几，有层次感，群居感，屋檐可以弄成茶水排放的那种流水感，尽量一个方形土楼加几个小圆形土楼那种组合茶几
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:   A $2 billion EnerVest fund that invested in oil and gas wells has essentially gone bust. Major pensions and other investors could be left with just pennies on the dollar at best. The loss is unusual for a private equity firm of EnerVest's size and raises concerns that similar funds offered by comp
Assistant:
Come up with a Stranger Things scene which takes place in an alternate universe, where Eleven (doesn't have powers, regular middle class girl) moves to Hawkins and meets Mike (aspiring mechanic, has a crush on Eleven as soon as he sees her), Will (Mike, Lucas and Dustin's best friend, aspiring punk guitarist, kinda unpopular), Dustin (aspiring scientist, bookworm), Lucas (top basketball player, extremely popular), Max (Lucas' girlfriend, extremely rich, mean, follows Lucas around everywhere),  Steve (nerd, shy, unpopular, bullied by Jonathan), Robin (Steve's girlfriend, similar to Steve), Jonathan (typical jock, bully) and Nancy (typical rich valley girl, Jonathan's girlfriend) (also the Upside Down doesn't exist)
Conceptualize what the intermediary between Hilbert space and AdS space could be described as. Write ten paragraphs minimum (each paragraph should be five sentences in length; do not write "Paragraph 1", "Paragraph 2", etc., as it takes up too much writing space).
[there would be dialogue in this story:]

(Hu Tao wakes up in her room. Time for another day in Liyue. She takes a moment to admire her baby bump in the mirror - getting bigger every day. And with every step she takes, her baby bump bounces up and down. She quickly gets into her maternity outfit before making her way to the Wansheng Funeral Parlor. Being 7 months pregnant, Hu Tao is hoping her water doesn't break prematurely. But on her way to the funeral parlor, she starts having acute pain in her belly.)
write a pac-man 99 (game) custom theme concept on, psycho soldier (snk)