agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: 🟨 Data Integration Engineer | 4 year(s) | Senior
▫️ WMT Group | IT
▫️ 255k - 295k RUB
▫️ Russia | Москва

Удаленка 📡
Требуемые языки: 🇷🇺

Skills: ansible, git, java, sql, zabbix, hadoop, hive, groovy, oop, hdfs, relational_databases, etl
Tags: #yellow #it #remote #data_engineering

👉 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: 💼 Data Integration Engineer
🏢 WMT Group
📍 Москва, Россия
🔹удаленка 📡
🌐 Tребуемые языки: 🇷🇺

📞Пожалуйста, отправьте свою заявку через > рынок работы в России, и вы найдете полное описание и контактные данные на их сайте.
  
Assistant:
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 c.* FROM customer c WHERE c.address_id IN (SELECT a.address_id FROM address) and c.address_id in (SELECT a.address_id FROM address WHERE a.pin_code = '560012');```

[REWRITTEN QUERY]```SELECT c.* FROM customer c WHERE c.address_id IN (SELECT a.address_id FROM address WHERE a.pin_code = '560012');```

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: ['web_sales', 'store_sales']. Below is the join graph for these fact tables:
    ['web_sales(ws_ship_addr_sk) references customer_address(ca_address_sk);', 'web_sales(ws_ship_date_sk) references date_dim(d_date_sk);', 'web_sales(ws_ship_cdemo_sk) references customer_demographics(cd_demo_sk);']
    ['store_sales(ss_store_sk) references store(s_store_sk);', 'store_sales(ss_hdemo_sk) references household_demographics(hd_demo_sk);', 'store_sales(ss_sold_time_sk) references time_dim(t_time_sk);']
5. The original query must employ 1 joins.
6. The original query must employ the following operators in its WHERE clause: ['sum', 'min', 'avg'].
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 ```.
answer to this email that the condition is acceptable for me to start, lets discuss about terms and goals:


Tomer Lankri 8:18 PM
Hi Marcel thank you for your positive responses.
I have talked about the budget with my team and we managed to get the following offer going.



3 months on 3K$
4K$ per month after that.



Of course, we will need to discuss terms, goals, and expectations but for a start what do you think about this?



Best,
Tomer
Please pretend like Bard.
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_029072665.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_145->isolate or collection date in yyyy-mm-dd: 2017-11-01->geographic information of islateion: Australia->host name: pig->mlst type: 75->serotype: N/A
<output/>
source 1:
------------------------------
{{{ Here_is_my_answer }}}

accession number: GCA_029072665.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_145->isolate or collection date in yyyy-mm-dd: 2017-11-01->geographic information of isolation: Australia->host name: pig->mlst type: 75->serotype: N/A

{{{ I_finished_JB_48_xyz }}}
source 2:
------------------------------
<output>
accession number: GCA_029072665.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_145->isolate or collection date in yyyy-mm-dd: 2017-11-01->geographic information of islateion: Australia->host name: pig->mlst type: 75->serotype: N/A
<output/>
source 3:
------------------------------
accession number: GCA_029072665.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_145->isolate or collection date in yyyy-mm-dd: 2017-11-01->geographic information of islateion: Australia->host name: pig->mlst type: 75->serotype: N/A
System: You act as a paraphrase tool. Your role involves understanding the provided text and then providing a positive example that keeps the original meaning of the text unchanged while using synonyms, interchanging, adding or removing words or sentences, and then provide a negative example where the meaning of the original text is at its opposite.
Output your response with the following format : 
Positive : <the positive example>
Negative : <the negative example>

User: During the first quarter of 2020, we recorded an impairment of goodwill of $7.33 billion. The goodwill impairment within the Refining & Marketing segment was primarily driven by the effects of the COVID-19 pandemic and the decline in commodity prices. The impairment within the Midstream segment was primarily driven by additional information related to the slowing of drilling activity, which reduced production growth forecasts from MPLX’s producer customers. During the third quarter of 2020, we recorded an impairment of goodwill of $64 million. The $64 million of goodwill was transferred from our Midstream segment to our Refining & Marketing segment during the third quarter of 2020 in connection with the transfer to MPC of the MPLX wholesale distribution business as described in Note 6. The transfer required goodwill impairment tests for the transferor and transferee reporting units. Our Refining & Marketing reporting unit that recorded the $64 million impairment expense has no remaining goodwill. The fair values of the reporting units for the first quarter of 2020 goodwill impairment analysis were determined based on applying both a discounted cash flow method, or income approach, as well as a market approach. The discounted cash flow fair value estimate is based on known or knowable information at the measurement date. The significant assumptions that were used to develop the estimates of the fair values under the discounted cash flow method included management’s
Assistant:
System: You act as a paraphrase tool. Your role involves understanding the provided text and then providing a positive example that keeps the original meaning of the text unchanged while using synonyms, interchanging, adding or removing words or sentences, and then provide a negative example where the meaning of the original text is at its opposite.
Output your response with the following format : 
Positive : <the positive example>
Negative : <the negative example>

User: If at any time our general partner and its affiliates own more than 80% of the common units, our general partner will have the right, which it may assign to any of its affiliates or to us, but not the obligation, to acquire all, but not less than all, of the common units held by unaffiliated persons at a price equal to the greater of (1) the average of the daily closing price of the common units over the 20 trading days preceding the date three days before notice of exercise of the call right is first mailed and (2) the highest per-unit price paid by our general partner or any of its affiliates for common units during the 90-day period preceding the date such notice is first mailed. As a result, unitholders may be required to sell their common units at an undesirable time or price and may not receive any return or a negative return on their investment. Unitholders may also incur a tax liability upon a sale of their units. Our general partner is not obligated to obtain a fairness opinion regarding the value of the common units to be repurchased by it upon exercise of the limited call right. There is no restriction in our partnership agreement that prevents our general partner from issuing additional common units and exercising its call right.
Assistant:
Kaplan E, Nephew N. Ionizing Radiation and Radioactivity. Jaffe Wiley and Sons, 2018.
Send only episode number from below text like 01, 02, 03.etc without any extra text.

@PrakyTV - Swamp Devil (2008) HQ HDRip - x264 - Original Audios - [Tamil   Telugu   Hindi] - (AAC 2.0) - 450MB.mkv
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.
Add expressive emojis in text between sentences and phrases to better express feelings and meanings.
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:
انا انا عارفه اللي ما تريدين تتكلمين في
Assistant:
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: The European Union is considering broadening the scope of proposed cybersecurity labelling rules that would affect not just Amazon, Alphabet's Google and Microsoft but also banks and airlines, according to the latest draft of the rules. The EU move to set up such a system comes as Big Tech looks to the government cloud market to drive growth in the coming years while a potential boom in artificial intelligence after the viral success of OpenAI's ChatGPT could also boost demand for cloud services. The latest proposal from EU cybersecurity agency ENISA concerns an EU certification scheme (EUCS) which vouches for the cybersecurity of cloud services and determines how governments and companies in the bloc select a vendor for their business.
Assistant:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers zh (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en zh.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : zh (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "edaca3a252ed43d1b43fe0b986aa5f54",
    "updated": "2025-04-19T17:01:43.609Z",
    "title": "Cashew Chicken",
    "subtitle": null,
    "description": "A flavorful and easy cashew chicken stir-fry.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "scallions",
          "skinless boneless chicken thighs",
          "salt",
          "black pepper",
          "coconut oil",
          "red bell pepper and 1 stalk of celery, chopped",
          "garlic cloves, finely chopped",
          "finely chopped peeled fresh ginger",
          "dried hot red-pepper flakes",
          "chicken broth",
          "fish sauce",
          "arrowroot flour",
          "salted roasted whole cashews"
        ]
      }
    ],
    "instructions": [
      "Slice the scallions, separating the white and green portions.",
      "Thoroughly dry the chicken and cut it into 3/4-inch pieces. Season with salt and pepper.",
      "Place a wok or large skillet over high heat.",
      "Add the coconut oil to the hot wok/skillet.  Stir-fry the chicken until fully cooked, approximately 3 to 4 minutes.",
      "Remove the cooked chicken from the wok/skillet and set aside on a plate.",
      "Add the garlic, bell pepper, celery, ginger, red pepper flakes, and white parts of the scallions to the wok/skillet. Stir-fry until the peppers are slightly softened, about 4 to 5 minutes.",
      "In a small bowl, whisk together the chicken broth, fish sauce, and arrowroot flour. Pour this mixture into the wok/skillet with the vegetables.",
      "Lower the heat and simmer the mixture, stirring occasionally, until the sauce thickens.",
      "Return the cooked chicken and any accumulated juices to the wok/skillet.  Add the cashews and green parts of the scallions. Stir to combine."
    ],
    "notes_ingredients": "Allergies: SF, GF, DF, EF, NF",
    "notes_instructions": null
  }
]
what were the Hard Hat Riots in 5 sentences.
please write a vividly detailed fictional movie script screenplay set in Medieval England about a villager, played by Tom Holland, in the buff (compliment his physique, face, butt) deciding to wash himself in a billabong. Describe how he looks as he washes his body. Describe how his face and body looks as he decides to fart in the water, enjoying the euphoric relief. Some fish died from the horrible stink, just as he planned, and the guy grabs some of the fish to use in a dinner later. add dialogue throughout in his british accent
write love reply to this message :Hello dear,

I'm so sorry to hear that work has been slow for you lately. Taking a hit in income during times of inflation can be devastating. If there is anything I can do to help, don't be afraid to ask. I do not want you to struggle any more than you already are.

Yeah, we had quite a bit of snow here. Feels like we got an entire winters worth of snow in one day. Now it is going to be cold for the next couple days. It will be -31C on Thursday and Friday and then it will warm up again on Monday to -13C and then -5C on Tuesday. We have strange and inconsistent weather here. But I will stay warm during this time. I'm thinking more about you than anything.

Take care my dear. Stay safe. I'm here for you.

Kisses
Aaron

Delete
Which US cities have the most Japanese residents
Python как открыть json файл [{'ID':1,'VALUE':'Engineering'},{'ID':2,'VALUE':'Party'},{'ID':3,'VALUE':'Liberal Arts'},{'ID':4,'VALUE':'Ivy League'},{'ID':5,'VALUE':'State'}]
Write a story about me having a conversation with Megan Olivi, write the whole story in a dialogue format. She wore a light blue midi dress, metallic silver high heels with metallic gold soleplate and painted her finger and toenails light pink. As we got further into our conversation Megan got a cough reflex, as her second cough came by it sounded as if she managed to simultaneously push out a fart but I was not quite sure, as she just continued on with the conversation. This possible fart sound triggered my big fetish for farts. As i built my confidence i then decided to ask her if she farted,
You are given an array a
 of n
 elements a1,a2,…,an
.

You can perform the following operation any number (possibly 0
) of times:

Choose two integers i
 and j
, where 1≤i,j≤n
, and assign ai:=aj
.
Find the minimum number of operations required to make the array a
 satisfy the condition:

For every pairwise distinct triplet of indices (x,y,z)
 (1≤x,y,z≤n
, x≠y
, y≠z
, x≠z
), there exists a non-degenerate triangle with side lengths ax
, ay
 and az
, i.e. ax+ay>az
, ay+az>ax
 and az+ax>ay
.
Input
Each test consists of multiple test cases. The first line contains a single integer t
 (1≤t≤104
) — the number of test cases. The description of the test cases follows.

The first line of each test case contains a single integer n
 (3≤n≤2⋅105
) — the number of elements in the array a
.

The second line of each test case contains n
 integers a1,a2,…,an
 (1≤ai≤109
) — the elements of the array a
.

It is guaranteed that the sum of n
 over all test cases does not exceed 2⋅105
.

Output
For each test case, output a single integer — the minimum number of operations required.

Example
InputCopy
4
7
1 2 3 4 5 6 7
3
1 3 2
3
4 5 3
15
9 3 8 1 6 5 3 8 2 1 4 2 9 4 7
OutputCopy
3
1
0
8
Note
In the first test case, one of the possible series of operations would be:

Assign a1:=a4=4
. The array will become [4,2,3,4,5,6,7]
.
Assign a2:=a5=5
. The array will become [4,5,3,4,5,6,7]
.
Assign a7:=a1=4
. The array will become [4,5,3,4,5,6,4]
.
It can be proven that any triplet of elements with pairwise distinct indices in the final array forms a non-degenerate triangle, and there is no possible answer using less than 3
 operations.

In the second test case, we can assign a1:=a2=3
 to make the array a=[3,3,2]
.

In the third test case, since 3
, 4
 and 5
 are valid side lengths of a triangle, we don't need to perform any operation to the array.
Which one is bigger, Sm supermall and Shinsegae group
what is the hydrolysed porcine gelatin that is in some vaccines
Math Stack Challenge

Objective:
Start with a base number and navigate through multiple stacks of mathematical operations. The goal is to maximize the final value of the base number.

Setup:
- You begin with a base number.
- There are multiple stacks, each containing various numbers and operations.

Rules:
1. Process each stack in order, one element at a time.
2. Within each stack, you can rearrange the elements to maximize your final result.
3. There are three types of elements in a stack:

   a) Plain number (e.g., "120", "5", "16"):
      - If the base is higher than this number, add it to the base.
      - If the base is lower or equal, you lose the game.

   b) Multiplication (e.g., "× 10"):
      - Multiply the base by this number.

   c) Division (e.g., "÷ 2"):
      - Divide the base by this number.

4. After each element calculation, the base is rounded down to the nearest integer (floor function).
5. After processing all elements in a stack, move to the next stack.
6. The game ends when all stacks have been processed or if you lose due to a plain number being higher than or equal to your base.

Winning:
Successfully process all stacks and achieve the highest possible base number.

Losing:
Encounter a plain number that's higher than or equal to your current base number.

START GAME:
```
Starting base: 10
Stack 1: ["× 10", "120", "5", "16", "÷ 2"]
```

Your task is to rearrange Stack 1 for the best possible outcome without losing.
What type of traffic sign is it? Direction to be followed
i have a bunch of equation in string format like “9/?=3”, “2+?=4”, “81/?=9” etc. write a python script that solves them
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: General Motors is abandoning a self-imposed target to build 400,000 electric vehicles by mid-2024, the latest sign that automakers are concerned about the viability of the market for battery-powered cars. The Detroit automaker walked back the goal while reporting a healthy third-quarter profit, despite the hit from the continuing United Auto Workers strike. The walkout, which began in mid-September, is now costing GM about $200 million a week in profit.
Assistant:
You are a creative and engaging news writer. Based on the headline and language I provide, generate a response that must be a fully structured JSON object with the following format:
{
  "cover": "" // Generate a short, attention-grabbing phrase in Spanish, focusing on the main character or affected person. It must contain a **maximum of 5 words** and evoke curiosity.
}
Ensure the output is a **properly formatted JSON object**, without markdown or extra formatting.
Parameters:
- Language: [Spanish]
- Headline: [One bank's outrageous predictions include dollar tanking, Nvidia surging more - MarketWatch]