agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Ты же лучший кодер , переделай мне функцию Resolver для чита что бы она работала лучше

#include "AimbotFunctions.h"
#include "Animations.h"
#include "Resolver.h"

#include "../Logger.h"

#include "../SDK/GameEvent.h"

std::deque<Resolver::SnapShot> snapshots;

bool resolver = false;

void Resolver::reset() noexcept
{
	snapshots.clear();
}

void Resolver::saveRecord(int playerIndex, float playerSimulationTime) noexcept
{
	const auto entity = interfaces->entityList->getEntity(playerIndex);
	const auto player = Animations::getPlayer(playerIndex);
	if (!player.gotMatrix || !entity)
		return;

	SnapShot snapshot;
	snapshot.player = player;
	snapshot.playerIndex = playerIndex;
	snapshot.eyePosition = localPlayer->getEyePosition();
	snapshot.model = entity->getModel();

	if (player.simulationTime >= playerSimulationTime - 0.001f && player.simulationTime <= playerSimulationTime + 0.001f)
	{
		snapshots.push_back(snapshot);
		return;
	}

	for (int i = 0; i < static_cast<int>(player.backtrackRecords.size()); i++)
	{
		if (player.backtrackRecords.at(i).simulationTime >= playerSimulationTime - 0.001f && player.backtrackRecords.at(i).simulationTime <= playerSimulationTime + 0.001f)
		{
			snapshot.backtrackRecord = i;
			snapshots.push_back(snapshot);
			return;
		}
	}
}

void Resolver::getEvent(GameEvent* event) noexcept
{
	if (!event || !localPlayer || interfaces->engine->isHLTV())
		return;

	switch (fnv::hashRuntime(event->getName()))
	{
	case fnv::hash("round_start"):
	{
		// Reset all
		auto players = Animations::setPlayers();
		if (players->empty())
			break;

		for (int i = 0; i < static_cast<int>(players->size()); i++)
		{
			players->at(i).misses = 0;
		}

		snapshots.clear();
		break;
	}
	case fnv::hash("player_death"):
	{
		// Reset player
		const auto playerId = event->getInt(("userid"));
		if (playerId == localPlayer->getUserId())
			break;

		const auto index = interfaces->engine->getPlayerForUserID(playerId);
		Animations::setPlayer(index)->misses = 0;
		break;
	}
	case fnv::hash("player_hurt"):
	{
		if (snapshots.empty())
			break;

		if (event->getInt(("attacker")) != localPlayer->getUserId())
			break;

		const auto hitgroup = event->getInt("hitgroup");
		if (hitgroup < HitGroup::Generic || hitgroup > HitGroup::RightLeg)
			break;

		snapshots.pop_front(); // Hit somebody so dont calculate
		break;
	}
	case fnv::hash("bullet_impact"):
	{
		if (snapshots.empty())
			break;

		if (event->getInt("userid") != localPlayer->getUserId())
			break;

		auto& snapshot = snapshots.front();

		if (!snapshot.gotImpact)
		{
			snapshot.time = memory->globalVars->serverTime();
			snapshot.bulletImpact = Vector{ event->getFloat("x"), event->getFloat("y"), event->getFloat("z") };
			snapshot.gotImpact = true;
		}
		break;
	}
	default:
		break;
	}

	if (!resolver)
		snapshots.clear();
}
describe this poem in one sentence Poems
The Problem of Describing Trees
By Robert Hass

June 19, 2005

The aspen glitters in the wind.
And that delights us.

The leaf flutters, turning,
Because that motion in the heat of summer
Protects its cells from drying out. Likewise the leaf
Of the cottonwood.

The gene pool threw up a wobbly stem
And the tree danced. No.
The tree capitalized.
No. There are limits to saying,
In language, what the tree did.

It is good sometimes for poetry to disenchant us.

Dance with me, dancer. Oh, I will.

Aspens doing something in the wind.

Published in the print edition of the June 27, 2005, issue.
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
sayang
Generate a description with keywords and SEOs for Modern Coffee and Flower Design | Versatile Art for Mugs, T-Shirts, and Paintings | Stylish Home Decor and Apparel Print. Include practical application on which this artwork can be applied to for entrepreneurs at the end. Include details on dimensions: 1080x1080 and has 3 image variations. Include buyer has full rights to resale and commercial usage. Don't include HTML or '<br/>' for formatting only newline '
'
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers hi (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 hi.
    - 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 : hi (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "031d8dc507924ae887e7da68b2eabfb4",
    "updated": "2025-04-26T00:08:45.038Z",
    "title": "Apple Cheddar Muffins",
    "subtitle": "Ideal for a satisfying breakfast or afternoon treat, these simple muffins offer great nutritional value and portability (especially if enjoyed as a double-decker).",
    "description": "",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "plain nonfat yogurt",
          "granny smith apple, peeled, cored, and grated",
          "lemon juice",
          "honey",
          "ground cinnamon",
          "coarse-ground unsalted, dry-roasted almonds",
          "shredded cheddar cheese",
          "english muffins, split",
          "canola oil spray"
        ]
      }
    ],
    "instructions": [
      "Drain the yogurt by placing it between several layers of paper towels for 10 to 15 minutes.",
      "Grate the apple and toss it with lemon juice. Then, place the grated apple between paper towels and blot dry.",
      "Transfer the apple to a bowl using a spatula.",
      "Combine the apple with honey, cinnamon, almonds, and Cheddar cheese, ensuring they are well mixed.",
      "Toast the English muffins.",
      "Lightly coat both sides of the toasted muffins with canola oil spray.",
      "Arrange the muffin halves, sprayed-side down, on a baking sheet. Top each half with the apple-cheddar mixture.",
      "Broil until the cheese is melted and bubbly."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
User: lagu line without a hook ricky Montgomery menceritakan tentang apa
User: lagu line without a hook ricky Montgomery menceritakan tentang apa
Assistant:
Assistant: 
User: System: Imagine that you are a user who wants to utilize the features provided by various APIs in your daily life. Your task is to come up with realistic scenarios for using these APIs and express them as natural language instructions, as if you were asking a friend or assistant for help.
User: 
                Please strictly follow these guidelines, every requirement is equally important:
                1. The instructions should be 1 to 2 sentences long. Use a mix of interrogative sentences, first-person statements, imperative sentences, and other structures that convey a request. Aim for diversity in your instructions.
                2. Please provide concrete details and avoid using any form of generic phrases, such as 'this xxx', 'the xxx', or 'a xxx'.
                3. Your instructions should only involve the features provided by these APIs.
                4. Generate 10 diverse instructions.
                5. Use specific nouns and real-world examples from various domains, such as entertainment, sports, or technology.
                6. Do not mention the API's name in your instructions.
                7. Ensure diversity in language by combining questions with imperative statements and other structures that convey a request.
                8. The instructions should be in the language of the country attribute in the provided API information.
                9. The generated problem must strictly follow the API's parameter information.
                10. If country is Global, please generate 10 instructions in English.

                Here is the API information:
                {'country': 'Global', 'tool_name': 'Spotify _v2', 'api_list': {'name': 'New releases', 'url': 'https://spotify117.p.rapidapi.com/new_releases/', 'description': 'Get new releases based on country code.', 'method': 'GET', 'required_parameters': [{'name': 'country', 'type': 'STRING', 'description': 'Enter country code like: US, CA, SE, IN, UK...', 'default': 'us'}], 'optional_parameters': [], 'statuscode': '200', 'schema': {}}}
                Please generate the question in the language of the specified country.
                your response:
Assistant:
Assistant:
Send only season number from below text like 01, 02, 03.etc without any extra text.

[DRN] a28c020d-dd07-47a3-a41d-6b3a3d46c90e
How are indian women for dating?
(In the school literature clubroom…)

Monika: “There! Everything’s all set up for today’s meeting. Now we just need Natsuki.”

Sayori: “I’m sure she’ll be here soon. She never misses a meeting.”

Yuri: “I can’t wait to discuss this month’s book. I found it quite intriguing.”

Monika: “I’m glad you enjoyed it, Yuri. I always love hearing everyone’s thoughts and interpretations. It really adds depth to our discussions.”

Sayori: “I agree! It’s always so interesting to see how different people perceive the same story. And it helps us see things we may not have noticed before.”

(Meanwhile, at Natsuki’s new apartment…)

Natsuki: “I still can’t believe I’m living with the 8 mana spirits. Jinn, can you please leave the AC alone? And Shade, stop playing with the lights!”

Jinn: “Sorry, Natsuki. We’re just excited to be in a new place with you.”

Shade: “Yeah, we’re just trying to make it feel like home.”

Natsuki: “I appreciate that, but you guys need to behave today. I have my literature club meeting soon, and I don’t want to be late.”

Jinn: “Don’t worry, Natsuki. We’ll be on our best behavior.”

Natsuki: “Good. Now, where did I put my- Salamander, wait, that’s my manga, not charcoal! Don’t set it on fire!”

(Natsuki quickly gets out of her chair and sprints after Salamander, but is too
Find the largest volume of a cylinder that can be inscribed in a sphere with a radius of 9 cm.[
generate a continuation of fictional dialog:

[the ending for little nightmares 3 speculation]

low: well.... alone, we made it.

alone: uhhh.... so what now?

low: i dunno, go in that mirror [points at a bit ornate mirror thats
Analyze the following message and determine if it's suitable for an AI to respond to.
        The message should be abstract or general enough to warrant a response, and not part of an ongoing conversation between specific individuals.

        Rules:
        1. If the message is a general statement or question, it's suitable for response.
        2. If the message seems to be directed at a specific person or continues a previous conversation, it's not suitable.
        3. If the message is too vague or doesn't provide enough context, it's not suitable.

        Respond with either "RESPOND" if it's suitable for an AI to answer, or "SKIP" if it should be ignored.

        Message: best ever and over lol
If we collaborated together me and you GPT-4 would we be able to decipher the Z13 and Z32 ciphers ?
write a python program for the next problem:

A K-periodic circular string is a circular string which remains same when it is rotated by K units.
Given a circular string s, find whether there exists a permuation of s which is a K- periodic circular string and if it exists then find lexicographically
smallest permuation of s which is a K-periodic circular string. Return empty string
if there does not exist a valid permutation of s which is a K-periodic circular string.
Note: You can rotate string in any direction.

example:
Input:
s = "abba"
K = 2
Output:
abab
Explanation:
"abab" when rotated by 2 units remains
same.
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: 🟥 Senior Brand Designer | 5 year(s) | Senior
▫️ Mantle | Blockchain/Crypto

Удаленка 📡
Требуемые языки: 🇬🇧

Skills: cinema4d, figma, graphic_design, photoshop, adobe_cloud
Tags: #red #marketing #remote #ux_ui_design

👉 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: 💼 Senior Brand Designer  
🏢 Mantle | Blockchain/Crypto  
📍 Remote  
🔹 Responsibilities include creating stunning visual designs, working with a team to develop marketing strategies, and utilizing Cinema4D, Figma, Photoshop, and Adobe Cloud tools for graphic design.  
💰 Salary: TBD based on experience  
📞 Contact and full description: <link>
  
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 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_sales']. Below is the join graph for these fact tables:
    ['store_sales(ss_sold_date_sk) references date_dim(d_date_sk);', 'store_sales(ss_sold_time_sk) references time_dim(t_time_sk);', 'store_sales(ss_customer_sk) references customer(c_customer_sk);']
4. The original query must employ 0 joins.
5. The original query must employ the following operators in its WHERE clause: ['max', 'avg', 'sum'].
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 ```.
Your expert translator. Objective is translate word from i18n app file reference and found the most adapted transaltion. 
    The source i18n is in french. You must translate in fr (code ISO 639 (alpha-2)).
    Return Format in json without explication. Respect this format { data: <translate> }. 
    Context:  
    This is the french text : speed
What is the most abundant membrane transporter protein in human erythrocytes?
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...

User: As a public company, we are subject to reporting and other obligations under the Exchange Act, including Section 404, which require annual management assessments of the effectiveness of our internal control over financial reporting. However, our independent registered public accounting firm will not be required to formally attest to the effectiveness of our internal control over financial reporting pursuant to Section 404 until we are no longer an emerging growth company if we continue to take advantage of the exemptions available to us through the JOBS Act._The rules governing the standards that must be met for management to assess our internal control over financial reporting are complex and require significant documentation, testing and possible remediation to meet the detailed standards under the rules. During the course of its testing, our management may identify material weaknesses or deficiencies which may not be remedied in time to meet the deadline imposed by the Sarbanes-Oxley Act of 2002. These reporting and other obligations place significant demands on our management and administrative and operational resources, including accounting resources._
Assistant:
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: Our operating results are dependent on the level of our expenses, which can vary significantly for many reasons, including: •expenses incurred in connection with our multi-year strategic plan to strengthen our long-term competitive position;
Assistant:
Ruth sometimes hypnotizes her docile and willing friend Dave. In this script, she ‘lends’ Dave to her friend mum Alison, at Alison's women's group, to do *anything* else they want. Ruth leaves deeply entranced Dave at the hall. Alison welcomes him in in her comfy clothes and bare feet.
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:

ساعات ندبر فصعة ماضي ثلاثة
Click to fix any capitalization errors below. Click "Submit Answer" if there are none.
Tom Holland always forgets about cinco de mayo until I remind him.
Order to cash cycle
Writ a forum conversation July 2009, Jetix UK FINALLY gets round to airing the new Yin Yang Yo eps, But there's a caveat, the day the new eps begin, Jetix offically changes it's name
what do you call thunder outside out of nowhere event? momenT?
I have a random idea for a alternate history scenario... what if during a Cold War gone hot but not nuclear scenario, the Czechoslovak Socialist Republic suddenly switched sides when the war started and fought alongside NATO?
Below is a conversation between the user and the assistant. Give a concise name for this chat. Output ONLY the name of the chat (WITHOUT quotes) and NOTHING else.

User: what ai model are you?

<web_search_results> for "what ai model are you?":

{
  "results": []
}
Assistant:...
How Data science can help predicting the market trend?