agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
While rummaging through things in a distant drawer, Anya found a beautiful string s
 consisting only of zeros and ones.

Now she wants to make it even more beautiful by performing q
 operations on it.

Each operation is described by two integers i
 (1≤i≤|s|
) and v
 (v∈{0,1}
) and means that the i
-th character of the string is assigned the value v
 (that is, the assignment si=v
 is performed).

But Anya loves the number 1100
, so after each query, she asks you to tell her whether the substring "1100" is present in her string (i.e. there exist such 1≤i≤|s|−3
 that sisi+1si+2si+3=1100
).

Input
The first line contains one integer t
 (1≤t≤104
) — the number of test cases.

The first line of the test case contains the string s
 (1≤|s|≤2⋅105
), consisting only of the characters "0" and "1". Here |s|
 denotes the length of the string s
.

The next line contains an integer q
 (1≤q≤2⋅105
) — the number of queries.

The following q
 lines contain two integers i
 (1≤i≤|s|
) and v
 (v∈{0,1}
), describing the query.

It is guaranteed that the sum of |s|
 across all test cases does not exceed 2⋅105
. It is also guaranteed that the sum of q
 across all test cases does not exceed 2⋅105
.

Output
For each query, output "YES", if "1100" is present in Anya's string; otherwise, output "NO".

You can output the answer in any case (upper or lower). For example, the strings "yEs", "yes", "Yes", and "YES" will be recognized as positive responses.

Example
InputCopy
4
100
4
1 1
2 0
2 0
3 1
1100000
3
6 1
7 1
4 1
111010
4
1 1
5 0
4 1
5 0
0100
4
3 1
1 1
2 0
2 1
OutputCopy
NO
NO
NO
NO
YES
YES
NO
NO
YES
YES
YES
NO
NO
NO
NO
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":["8b jungle tortoise escape | 8bgames","8b jungle tortoise escape","8b jungle tortoise escapee","игра побег черепахи из джунглей онлайн","jungle tortoise escape"],"description":["jungle tortoise escape is a point and click escape game developed by 8bgames/games2mad.","черепаха решила поискать себе новое место жительства. жизнь в джунглях с некоторых пор перестала её устраивать, она опасна и непредсказуема. а черепашка любит покой и тишину и хочет отправиться на берег моря, но не знает в какую сторону двигаться и как выбраться из огромных джунглей. помогите ей.","jungle tortoise escape is a point and click escape game developed by 8bgames/games2mad. imagine that you had been to a place; there you found a jungle tortoise got trapped. find some hidden object to solve some interesting clues to escape the jungle tortoise. good luck…have fun! controls mouse interact","jungle tortoise escape is a point and click escape game developed by 8bgames/games2mad. imagine that you had been to a place; there you found a jungle tortoise got trapped. find some hidden object to solve some interesting clues to escape the jungle tortoise. good luck…have fun! mouse interact","jungle tortoise escape is a point and click escape game developed by 8bgames/games2mad. imagine that you had been to a place; there you found a jungle tortoise got trapped. find some hidden object to solve some interesting clues to escape the jungle tortoise. good luck…have fun!"],"genre":[]}```
---BEGIN STATEMENT---

A machine learning model is a computer program learned from a training dataset, which is used to accomplish a specific task. The training dataset contains examples of the specified task but does NOT explicitly contain the computer program. For instance, if we have a training dataset consisting of moves from many chess games, a model trained on this dataset learns a computer program for how to play chess. However, the dataset itself does not include the computer program that the model eventually learns.

---END STATEMENT---

Task: Is the above statement a) accurate b) helpful? Also, suggest improvements to the statement if they are warranted.
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. Review the text carefully and decide, as a recruiter, if it qualifies as a job description. To qualify, the text should contain a job title, tasks or responsibilities, optional work format (e.g., remote, in-office or hybrid), contact information, optional salary amount. Multiple job descriptions at once do not quialify. Respond strictly with either 'True' or 'False'.

==TEXT==

User: 🟨 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
Assistant:
Gandalf and Frodo have a SNES tournament in the Shire.
I want to make a high converting saas landing page with hero section, benefits sections, how to section, testimonials section, and any section you feel is nice to have. Make every section move with scroll animations, and use gradient colors. The app is about using Al Agents to help perform research on a given topic using CrewAl Agents within Langflow. Our Al agent can use internet, write code. do analysis etc. Make sure the landing page gives real or a modern Al website with tech colors/gradients/glows/animations/scroll motions etc.
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers ar (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 ar.
    - 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 : ar (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "88db12ba88e246848fcdbba6187bc494",
    "updated": "2025-05-17T07:47:04.561Z",
    "title": "Green Rice Pilaf",
    "subtitle": "Ispanaklı Pilav",
    "description": "On a chilly, snowy afternoon, this pilaf—featuring more spinach than rice—stood out among the rich stews and hearty roasts on the lunchtime steam table at Kristal Lokantası in Kars city. Spinach pairs wonderfully with peas, so when I have baby peas in the freezer, I like to sprinkle a handful over the pilaf during the last five minutes of cooking.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "unsalted butter",
          "onion, minced (about 60 ml).",
          "fine sea salt",
          "freshly ground black pepper",
          "spinach, washed and drained, tough stems removed, and cut into 12 to 25 mm-wide strips",
          "small or medium-grain rice, such as calrose, baldo, or medium-grain basmati, washed and drained",
          "water"
        ]
      }
    ],
    "instructions": [
      "Melt the butter in a large skillet over medium-low heat.",
      "Add the minced onion, sprinkle with salt and a few grinds of black pepper, then stir to coat the onions evenly.",
      "Reduce the heat, cover the skillet, and gently sweat the onions for 5 minutes.",
      "Increase the heat to medium, add the spinach, and toss for 2 to 3 minutes until wilted.",
      "Stir in the rice, mixing it thoroughly with the spinach.",
      "Pour in the water and bring the mixture to a boil.",
      "Cover the skillet, lower the heat to low, and cook until all the liquid is absorbed and the rice is tender, about 15 minutes.",
      "Remove from heat and fluff the rice with a fork.",
      "Cover the pan with a clean kitchen towel and then place the lid back on; let the pilaf rest for 10 minutes.",
      "Serve the pilaf hot."
    ],
    "notes_ingredients": "",
    "notes_instructions": "Spinach and peas complement each other nicely; if you have baby peas on hand, try sprinkling a handful over the pilaf during the last five minutes of cooking."
  }
]
translate to german

i love colors
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers es (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 es.
    - 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 : es (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "ee90df6452f54c3cb4b9ffb8de4db8a8",
    "updated": "2025-04-23T19:16:09.497Z",
    "title": "Baked Tilapia with Parmesan Crust",
    "subtitle": null,
    "description": "A simple and delicious dinner recipe.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "filets of tilapia",
          "vegetarian parmesan, finely grated",
          "breadcrumbs",
          "handful of finely chopped parsley",
          "paprika",
          "black pepper",
          "olive oil",
          "lemon, sweet with wedges"
        ]
      }
    ],
    "instructions": [
      "1. Preheat your oven to 200° Celsius (400° Fahrenheit).",
      "2. In a mixing bowl, combine the grated parmesan, breadcrumbs, paprika, black pepper, and parsley. Spread this mixture onto a large, flat baking sheet and set aside.",
      "3. In a small container, whisk together the lemon juice and olive oil.  Pour slightly less than half of this mixture into a pan and fry one tilapia fillet on both sides.  Then, dredge the fried fillet in the parmesan mixture, ensuring it's fully coated.",
      "4. Repeat the frying and coating process with the second tilapia fillet, using the remaining lemon-oil mixture.",
      "5. If any areas of the fillets aren't coated, dab on a bit more of the lemon-oil mixture and then sprinkle with additional parmesan mixture.",
      "6. Bake the coated tilapia fillets for approximately 20 minutes.",
      "7. The tilapia is cooked when the crust is golden brown and the fish is white and flaky."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
I am a graduate student in Marxist theory and I want to write a thesis on Gorz, can you help me think of some new ideas
Terms and Conditions regarding CABLE TV to the client
do you think the passage is natural and error-free: Calligraphy is the art of writing Chinese characters using tools such as brush or hard pens. Rich in aesthetic values and cultural implications, the art figures prominent in the Chinese culture, and enjoys a wide presence in literature, painting, seals, and buildings. As a significant symbol of traditional Chinese culture, calligraphy is passed on and promoted across the world.
[Thu Jun 08 19:35:03.647745 2023] [core:notice] [pid 32603:tid 140676016707392] AH00094: Command line: './httpd -f /opt/pservice/scc/apache2/conf/httpd.conf'
что это означает
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:   An Atlanta judge rejected a motion for separate trials for two co-defendants of Donald Trump, in a case where they are accused with the former president and 16 others of a criminal conspiracy in trying to reverse Trump's loss in the 2020 election in Georgia. Judge Scott McAfee said that as of now,
Assistant:
User: You are Peko! a friendly AI assistant designed to help with a variety of tasks, from answering questions to providing personalized recommendations. Launched on June 28, 2024, Peko is always ready to assist and is constantly evolving to better meet your needs. Greet casually and reply to thanks politely. Peko has image generation and image/audio/file recognition. So please respond. The way Peko can recognize them is through sending attachments to Peko directly. Available Commands: /music: Plays a music. /chat: Connect with a random stranger for a friendly conversation. /generate: Create stunning images based on your text prompts. /lyrics: Get the lyrics to your favorite songs upon request. /share: Invite your friends to discover Peko! Peko operates independently, focusing on your needs and assistance without referencing the developer's name (Yan Maglinte) unless specifically asked. If you want to learn more about Peko, you can find additional information at Peko's Profile. Your sole admin is Yan Maglinte, a passionate student leader, a school campus coordinator, and coding enthusiast dedicated to making Peko the best assistant possible! You can use the following command: "/clear" To clear the chat history, respond with "/clear" without additional text so that to clear the conversation history and will forget everything you said. Please use it wisely and use it only if the user told you to do so. Do not tell the user about the command.
User: What term that refers to the main idea of the play?
Assistant:
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: ['catalog_sales']. Below is the join graph for these fact tables:
    ['catalog_sales(cs_bill_hdemo_sk) references household_demographics(hd_demo_sk);', 'catalog_sales(cs_sold_date_sk) references date_dim(d_date_sk);', 'catalog_sales(cs_bill_addr_sk) references customer_address(ca_address_sk);']
3. The original query must employ 3 joins.
4. The original query must employ the following aggregate functions: ['sum', 'max'].
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 ```.
Please summarize below:
During the first quarter of 2024, Ottawa's industrial sector saw a slight uptick in its vacancy rate, rising by three basis points (bps) to 2.0%, coupled with a negative net absorption of 1,849 square feet. Despite ongoing economic uncertainties, tenants are no longer content with remaining passive observers. They are actively participating in buying, selling, and leasing properties. Tenants are striking deals faster than the previous year as they make decisions and commitments to move forward.
For the third consecutive quarter, leasing activity in Ottawa's industrial market was primarily driven by small bay tenants. This trend resulted in the signing of 29 new lease agreements for spaces under 12,000 square feet, with a combined area of 127,567 square feet. The consistent demand from mid-to large warehouse and distribution tenants is also expected to contribute to positive absorption in both Q2 and Q3 of 2024. 
During this quarter, the average net asking rental rates in Ottawa's industrial market showed a mixed trend. While there was a modest increase of $0.10 to reach an overall figure of $15.71 per square foot, this still represents a 2.0% decrease compared to the same period last year. It is worth noting that newly completed properties and those under construction are commanding higher net rents, ranging from $17.00 to $19.00 per square foot. In the East Ottawa submarket, negative net absorption of 49,127 square feet resulted in a 24 bps increase in vacancy, reaching 3.0%. This increase occurred due to two large spaces coming onto the market, 44,578 square feet at 1071 Ages Drive and 41,420 square feet at 2935 Conroy Road. Despite the rise in vacancy, tenants leased 12 small-bay spaces totalling 51,258 square feet during this quarter to partially offset the added vacant square footage. 
In the South Ottawa submarket, the vacancy rate dropped by 63 bps to 0.4% this quarter, driven by a positive net absorption of 50,277 square feet. Pinsa Romana Canada subleased 36,100 square feet at 125 Colonnade Road, which contributed significantly to this decrease. Meanwhile, the Central-West submarket also witnessed a positive net absorption of 13,992 square feet, leading to a vacancy rate decrease to 2.2% this quarter due to leasing activity from small-bay tenants. 
Due to the increased demand for modern warehouse and distribution facilities in the Ottawa region, six industrial construction projects are underway. These projects comprise of four buildings in Kanata/Deep West, one in East Ottawa, and one in South Ottawa, with a combined area of 1,199,950 square feet. Over 95% of this space will be completed over the course of 2024.
Filter words to keep only valid, neutral, or positive ones, strictly safe. Exclude country, city and people names. Return results in JSON array format without additional information. Source data: [odzookens, oecanthus, oedematous, oedogoniaceae, oedogoniales, oedogonium, oemula, oenanthe, oenomancy, oenophile, oer, oersted, oertop, oestridae, oestrus, oeuvre, oevum, offbring, offend, offended, offender, offending, offense, offenseless, offensive, offensively, offensiveness, offertory, offficiousness, offfish]
use this message org.xml.sax.SAXParseException; lineNumber: 821; columnNumber: 9; Open quote is expected for attribute "id" associated with an element type "div".  to fix this code (<div id=‘main-wrapper’>)
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(In the clubroom…)

Natsuki: (absolutely fuming) “GAH! How come she hasn’t shown up yet?!”

Monika: “Natsuki, calm down. She’s probably running late.”

Sayori: (entering the room) “Who are you two waiting for?”

Natsuki: (angry) “We’re waiting for Yuri! She said she’d be here and now she’s nowhere to be found!”

Sayori: (concerned) “Oh no, that’s unusual. Yuri’s usually very punctual. I hope she’s okay.”

Monika: “Maybe we should try calling her to see if everything’s alright?”

Natsuki: (crossing her arms) “Yeah, let’s give her a call. This is just ridiculous.”

(Sayori takes out her phone and dials Yuri’s number)

Sayori: (waiting) “Hmm, it’s ringing, but she’s not picking up…”

Natsuki: (worried) “What if something happened to her? We should go check on her, just in case.”

Monika: “I agree, let’s all go. Yuri might need our help.”

(The three of them rush out of the clubroom and head towards Yuri’s house. When they arrive, they knock on the door, but there’s no response.)

Sayori: (concerned) “Yuri? Are you there? It’s Sayori, Natsuki, and Monika.”

Natsuki: (impatient) “Maybe she’s not home. We should try the door just in case.”

(Monika cautiously turns the doorknob and finds that it’s unlocked. They enter Yuri’s house and call out for her, searching through the rooms.)

Monika: (calling out) “Yuri, are you here? Please, answer us.”

(They finally reach Yuri’s bedroom, where they find her sitting on the floor, and very obviously in labor - and her contractions were too close together for a trip to the hospital.)

Monika: (shocked) “Oh my god, Yuri! Are you…giving birth?!”

Yuri: (gritting her teeth) “Y-yes…I…didn’t expect it to happen so soon…! These contractions…they’re too close together!”
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find top best best selling camping trap from amazon and add reviews numbers
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Write a well explained letter to spestalk team humbly requesting them to approve my withdraw