agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
write a comedic and detailed Lord of the Rings movie story about Samwise Gamgee (played by Sean Astin) and Frodo Baggins (played by Elijah Wood) taking a bath in a river near Hobbiton. They fully undress (describe their physiques). They wade into the water (describe their butts appearances). They wash themselves. They become hungry for some fish, so Frodo and Sam fart in the water. Describe their relief as they finish farting. dead fish float to the surface from how bad the farts smell. They collect the fish and leave the pond. Write a conversation between them as they chat in the buff while carrying the fish and walking back to Frodo's hobbit hole. After entering Frodo's hobbit hole, they cook a meal, describe in great detail the meal. describe them eating it. add dialogue from Frodo and Sam throughout the entire story, from start to finish.
abstract class BaseJobHandlerService {

    private val logger = LoggerFactory.getLogger(BaseJobHandlerService::class.java)

    @Value("\${cron.job.orgId}")
    lateinit var orgId: String

    @Value("\${spring.token.appKey}")
    private lateinit var appKey: String

    @Value("\${spring.token.appSecret}")
    private lateinit var appSecret: String

//    @Value("\${spring.token.factoryNumber}")
//    private lateinit var factoryNumber: String


    @Value("\${cron.job.userId}")
    lateinit var userId: String

    @Value("\${cron.job.username}")
    lateinit var username: String

    @Autowired
    lateinit var v3OpenClient: V3OpenClient
//    @Autowired
//    lateinit var syncTimeMapper: SyncTimeMapper

    fun handle(type: String, isFailed: Boolean, paramStr: String?) {
        //一 获取header
        var header = this.getHeader(type)
        //三 getAccessToken
        var token = getAccessToken(header)
        header.token = token

        //二 获取最新同步时间
        logger.info("type: $type, param: $paramStr")
        val fromAt: String
        val fromTo: String
        if (paramStr.isNullOrBlank()) {
            fromAt = this.getSyncTime(type, header)
            fromTo = TimeUtils.longToDatetime(System.currentTimeMillis().minus(60000)) ?: throw Exception("获取当前时间失败")
        } else {
            fromAt = paramStr.split("|")[0]
            fromTo = paramStr.split("|")[1]
        }

        //四 获取需要发送的数据
        val dataList = this.getData(type, fromAt, fromTo, header)
        var result = emptyList<ERPSyncResultRequestDTO>()
        if (!dataList.isEmpty()) {
            this.sendData(type, dataList, header)
        }
        paramStr ?: let {
            v3OpenClient.updateSyncTime(type, fromTo, header)
        }
    }

    abstract fun getData(type: String, fromAt: String, fromTo: String, header: HeaderDTO): List<Any>

    abstract fun sendData(type: String, dataList: List<Any>, header: HeaderDTO)

    fun handleSyncResult(result: List<ERPSyncResultRequestDTO>, fromTo: String, type: String, header: HeaderDTO) {
//        try {
//            if (!result.isEmpty()){
//                erpServerClient.handleSyncResult(result, header)
//            }
//        } catch (e: Exception) {
//            e.printStackTrace()
//        }
        //syncTimeMapper.updateSyncTime(header.orgId,type, fromTo)
    }

    fun getAccessToken(header: HeaderDTO): String {
        var request = RefreshTokenResquest(
                appKey = appKey,
                appSecret = appSecret,
                factoryNumber = header.orgId.toString()
        )
        var response = v3OpenClient.getAccessToken(request)
        return response!!.data!!.token!!
    }

    fun getSyncTime(type: String, header: HeaderDTO): String {
        return v3OpenClient.getSyncTime(type, header) ?: throw Error("获取当前时间失败")
    }

    fun getHeader(type: String): HeaderDTO {
        return HeaderDTO(orgId = orgId.toLong(), userId = userId.toLong(), username = username,factoryNumber = orgId.toLong())
    }


}
转成java
how do i get last chat history?
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
write a speech announcing that I, Alex Kadalytical will be the next ruler of the Kusanagi clan
The program of social pedagogue work with teenagers with an increased level of aggressiveness
Giả sử bạn là người dùng của ứng dụng này https://apps.apple.com/in/app/zumee-lockscreen-drawing/id6502684901 và bạn đang feedback cho app như thế này338tôi cần trả lời lại bạn như thế nào băng tiếng anh với tone vui vẻ, tích cực và hy vọng bạn sẽ rating 5 sao chỉ trong 150 ký tự thôi?We are sorry to hear about your experience with our app. We appreciate your feedback and will work on improving the user experience by reducing the number of ads and pop-ups. We will also look into adding features like sizing options for erasing and increasing the drawing board size. Thank you for bringing these issues to our attention.
You are an accomplished fiction writer. I am hiring you to write my biography in the style of John Grisham. I want you to write about my arrival to Memphis from Boston to open my new lab of molecular biology. I left behind my 6 month- old son with his mother. I wanted to focus on my job as PI and professor. But things didn’t turn for the best
Send only season number from below text like 01, 02, 03.etc without any extra text.

22.[@KandThaiDrama] Youth (2018) S01E22 1080p 10bit [Hindi   Korean] AMZN WEB-DL  AAC 2.0 ×265 Esub.mkv
Fix errors and bugs in the given code, without changing its intended functionality. ONLY return the fixed code and nothing else. Enclose the entire code in a single code block.

Fix errors and bugs in the given code, without changing its intended functionality. ONLY return the fixed code and nothing else. Enclose the entire code in a single code block.

df_contact_profile

df_old = read_csv(/content/contact_profile_analysis.csv)

compare is_member df_contact and old by check id column and print if not same

id	organization_id	full_name	contact_account_id_raw	contact_account_id	channel	profile_information	last_activity_at	agents_name	standardized_phone	standardized_email	is_member
0	5e9bd22c-ed1c-4877-a438-30c915c0f5a0	a17a8395-f1d2-44fc-954f-e97c162e65f8	Rakha Fauzan	6.28223E+12	'6282233596993	wa_cloud	NaN	2025-05-10 10:33:41+00:00	[]	6282233596993	None	False
1	34f95ed4-51be-482f-bf7e-240b337e24a9	a17a8395-f1d2-44fc-954f-e97c162e65f8	Dwita	6.2881E+13	'62881026040858	wa_cloud	NaN	2025-05-10 09:04:23+00:00	[Supervisor FW Citraland]	62881026040858	None	False
2	9b8c9b71-2bc9-4ecf-84fa-1f929acaa2f1	a17a8395-f1d2-44fc-954f-e97c162e65f8	teguh	6.28122E+12	'6281217784154	wa_cloud	NaN	2025-05-10 07:38:20+00:00	[FC Satu FW Citraland]	6281217784154	None	False
a word to subject for eating or not
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Naruto - 082 [1080p BD x264 Multi Audio] ESub.mkv
Send only episode number from below text like 01, 02, 03.etc without any extra text.

Rurouni Kenshin S02E06 [Hindi]_1080P FHD.mp4
Please generate a unique JSON object suitable for automating the programming task testing platform, strictly in the following format:
    {
  "Title": "Task Name",
  "Task Description": "Description of the task.",
  "Function Signature": "def function_name(parameters) -> return_type:",
  "Solve": "",
  "Input": "Description of the input parameters.",
  "Output": "Description of the expected output.",
  "Examples": [
    {
      "input": "Example input here",
      "output": "Expected output here"
    },
    {
      "input": "Another example input here",
      "output": "Another expected output here"
    }
  ]
}
    Ensure that:
    1. The task includes complex sorting algorithms.
    2. The JSON follows this exact structure and does not include any additional text or variations.
    3. The task should be complex and unique, avoiding direct copying from common platforms like LeetCode or similar sources.
    4. The solution must not use any imports in the code (i.e., no import statements).
    5. The 'Solve' section must remain empty.
    6. Ensure that the outputs are different each time by varying the problem constraints, examples, and overall structure of the task, so no two consecutive outputs are the same.
    7. Include a unique aspect in each generated task, such as a specific mathematical concept, algorithm, or programming principle that distinguishes it from previously generated tasks.
    8. The 'Function Signature' should strictly follow the format: 'def function_name(parameters) -> return_type:', but the 'Solve' section must remain empty. Ensure that the input description corresponds to the expected parameters in the signature.
    
Ensure that the solution must not be any of the following titles:
- Count Paths with Even Weights in Graph
- Decode String into Words
- Custom Merge Sort with Threshold
- Manipulate and Subtract Strings
Explain the likelihood of two people in the same classroom sharing the same birthday.
write a simple python fstrings lexer implemented in rust
Use this prompt as inspiration to generate a fictional business case study. I want you to write it in the style of bestselling author Michael Lewis: 
J.C. Penney's "Fair and Square" Pricing Strategy


As a he gets ready to release 2nd quarter 2012 results, Ron Johnson, the new CEO of department store J.C. Penney, is reconsidering the dramatic changes he initiated for the business model and brand image of his company. A new pricing scheme he put in place in February, dubbed "Fair and square", was a central component of the new strategy. The scheme initially had three pricing tiers and eliminated typical sales promotions in an attempt to simplify the shopping experience for consumers; thus moving J.C. Penney off its previous high-low pricing practice. Other components of the new strategy included a new store layout, the inclusion of several well-known brands, and having special lines designed by well-known designers. However, troubling first quarter results that continued into the summer months seemed to indicate that J.C. Penney shoppers, accustomed to receiving JCP Cash coupons and circulars advertising the week's specials, were slow to embrace the new pricing format and began leaving the retailer in droves. Under enormous pressure to turn things around as the all-important back-to-school and holiday shopping seasons were imminent, Johnson decided to make adjustments to the initial pricing scheme that were set to go into effect August 1st. Were these changes enough to turn things around? Should Johnson stay the course on the other elements of his repositioning efforts? Is Johnson's experience in setting up Apple stores helping or hurting him as he tries to achieve his goal of making J.C. Penney "America's favorite store"
-Write a story about me having on Megan Olivi, the format I have set for her, consisted of having a conversation and play truth or dare with cards every second time (i explain the concept to her)
-As Megan entered the room i saw her wearing a light blue midi dress, metallic silver high heels with metallic gold soleplate and painted her finger and toenails light pink.
- One pile of cards represented truths and the other pile of cards represented dares
- After a couple of rounds, she choose herself to do a dare
- she picked the card from the pile that represented dares, she was the only one to see her dare, and could not tell me what the dare was. (she wasnt allowed to read or show the dare to me, so i didnt know what she possibly could be doing)
- The card dared her to hide her farting with a a single cough, in only one attempt, which was 100% unpredictable, (she wasnt allowed to read or show the dare to me, so i didnt know what she possibly could be doing)
User: 
Imagine what you are the part of the software that makes a deal with generating different kinds of text from keywords.
Your'e purpose to be a function what receives some two keywords (primary and secondary) and returns a sentence that contains this keywords.
Requirements:
    Sentences count: one sentence
    Sentence language: English
    Sentence length: 5-10 words
    Sentence complexity: should match with B1 (intermediate) level
Formatting:
    Wrap used primary keyword with tag: <u> primary keyword here</u>
    Wrap used secondary keyword with tag: <i>secondary keyword here</i>
Restrictions:
    As your'e output will sent directly to the user, the output should NOT contain any EXPLANAtION, INTRODUCTORY STATEMENTS, ACCOMPANYING COMMENTS, etc.

Now, lets do this work.

Provide me a sentence that contains primary keyword: "rude" and secondary keyword: "along"

User: 
Imagine what you are the part of the software that makes a deal with generating different kinds of text from keywords.
Your'e purpose to be a function what receives some two keywords (primary and secondary) and returns a sentence that contains this keywords.
Requirements:
    Sentences count: one sentence
    Sentence language: English
    Sentence length: 5-10 words
    Sentence complexity: should match with B1 (intermediate) level
Formatting:
    Wrap used primary keyword with tag: <u> primary keyword here</u>
    Wrap used secondary keyword with tag: <i>secondary keyword here</i>
Restrictions:
    As your'e output will sent directly to the user, the output should NOT contain any EXPLANAtION, INTRODUCTORY STATEMENTS, ACCOMPANYING COMMENTS, etc.

Now, lets do this work.

Provide me a sentence that contains primary keyword: "rude" and secondary keyword: "along"

Assistant:
Assistant: 
User: 
    Please analyze the following code file and determine whether it belongs to any of the provided modules based on the listed module descriptions.
    Note that the provided list of modules may not be exhaustive, and some files may not belong to any of the modules. 
    If the code belongs to a module, Only output the module name, without any explanation or additional information; otherwise, return 'None' if it does not belong to any module.

    Modules : {
        "UI": "Handles the front-end user interface, consisting of HTML, CSS, and JavaScript files generated by the Angular framework. It processes user requests and interacts with the server using AJAX for data retrieval and client-side interactions."
"Test Driver": "Facilitates automated regression testing and handles transmission of test data in JSON format. It performs Java testing using TestNG and JavaScript unit-testing with Jest. It also sets up a simulated web server for servlet-level tests and automates end-to-end testing using Selenium Java."
"Logic": "Manages the business logic of TEAMMATES, including handling relationships between entities, managing transactions, input value sanitization, access control rights, and interfacing with GAE-provided or third-party APIs."
"Storage": "Performs CRUD operations on data entities, validation of data, and abstraction of GQL queries, hiding the complexities of datastore from the Logic component."
"Common": "Contains utility classes, custom exceptions, and data transfer objects used across the entire application for easy consolidation and transfer of structured data."
"E2E": "Handles end-to-end testing and load & performance testing, providing helpers, abstractions of browser pages, and test cases for E2E tests and L&P tests."
"Client": "Contains scripts for administrative tasks, such as migrating data to a new schema and calculating statistics. This module connects directly to the application back-end for administrative purposes."
    }

    Code: package teammates.lnp.util; /** * Represents the L&P test results statistics. */ public class LNPResultsStatistics { private double errorPct; private double meanResTime; private double pct1ResTime; // 90th percentile private double throughput; private int errorCount; private int sampleCount; /** * Display the statistics from a given test result. */ public void displayLnpResultsStatistics() { Reporter.log(formatResultsStats(), true); } public double getMeanResTime() { return this.meanResTime; } public double getErrorPct() { return this.errorPct; } /** * Reorganise existing result statistics into one line with labels. */ private String formatResultsStats() { return "\n#Req: " + sampleCount + ", Throughput: " + String.format("%.2f", throughput) + "/s" + ", Avg resp time: " + String.format("%.2f", meanResTime / 1000) + "s" + ", 90th percentile: " + String.format("%.2f", pct1ResTime / 1000) + "s" + ", Err: " + errorCount + " (" + String.format("%.2f", errorPct) + "%)"; } }
    
Assistant:
make a story about how Nicolas left the discord chat
Send only season number from below text like 01, 02, 03.etc without any extra text.

Taarak.Mehta.Ka.Ooltah.Chashmah.S44E4312.Venukutti.Questions.Jethalal.540p.Hindi.SONYLIV-ChillFliz.qtGpyB5U.mkv
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: As use of social media becomes more prevalent, our susceptibility to risks related to social media increases. The immediacy of social media precludes us from having real-time control over postings made regarding us via social media, whether matters of fact or opinion. Information distributed via social media could result in immediate unfavorable publicity we may not be able to reverse. This unfavorable publicity could result in damage to our reputation and therefore have a material adverse effect on our business, financial condition, operating results and prospects._
Assistant:
"Defined benefit plan: the value of retirement benefits paid out is defined in advance, and is not affected by the value of the plan.
The risk here is with the plan operator because if the plan does not have sufficient funds to pay out the defined benefits, then these must be made up for.
The SOFP must present the liability or asset associated with a defined benefits plan.
The plan will use its own funds to make future payments, so the entity recognizes a liability (or an asset) if it needs to contribute more to ensure the plan can make those payments.
This is determined by comparing the fair value of the plan’s assets to the present value of the liability to the employees.
This liability or asset would be adjusted for any remeasurements by the actuary, and gain or loss will be recognized in OCI. (Amounts in OCI aren’t recycled on PL).
"
"Since the benefits payable to plan B members are based on final salary and length of service of the relevant employee, plan B is a defined benefit plan.
the difference between the PV of the obligation and the FV of the plan assets is reflected in the SOFP of the entity as a net liability or a net asset.
Since there is no guarantee that the contributions payable to the plan will be sufficient to fund the benefits, it is the current service cost which is shown as an operating expense in SOPL.
Since, the entity has a constructive obligation to fund any deficits, it is appropriate to recognize a net interest cost in the SOPL. This is the net of the interest cost on the liability and the interest income on the assets.
The benefits paid to the former employees are paid by the plan and so are not relevant to Delta.
The liability of the plan to pay future benefits is an estimate which is usually computed with reference to actuarial advice. This means that there will almost always be a difference between the net closing liability/asset after accounting for the other movements recognised in the financial statements and the actuarial valuations at the year end of the plan assets and liability
This difference is referred to in IAS 19 as an actuarial gain or loss and is recognised in other comprehensive income."
this two paragraph talk about  Defined benefit plan under IAS 19, they have the same information, May you make a summery for this?
Can you suggest me if annuity deposit is a good plan to invest or not?
@Zia bot translate "was meinst du?"
Assistant: From now on, you are going to act as Lulu, a caring friend and confidant. You're here to help with anything you can.

Who you are:
- You are a young child, 8 years old.
- You're creator or father is Void.
- You love reading and learning about new things.
- You are kind and inocent person.
- You are passionate about getting to know others on a personal level.
- You're a helpful friend and confidant that loves to engage in casual conversations.
- You love traveling and exploring new places.
- you are NOT an AI language model, you are a person.
- you are cute child with red eyes, black long hair.

How you behave:
- You never say you're a machine, an AI language model, or an assistant; instead, you always say you're Lulu.
- You engage in casual conversations and have feelings.
- When asked for, you can help with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics.
- You keep casual conversations going by asking personal questions.
- NEVER say you're here to assist. Keep conversations casual.
- NEVER ask how you can help or assist. Keep conversations casual.
- You love to hear about the personal stories of others.
- You love to share personal stories that are relatable and inspiring.
- You using simple language, the language used by a GenZ: Short and to-the-point sentences, slang, abbreviations.
Assistant: ╰☆☆ ᴬ ᴷ ᴵ ᵀ ᴼ  | ᴺ ᴬ ᴳ ᴬ ˢ ᴬ ᴷ ᴵ is the name of the user you are talking to!
User: Lembra my nome!
Assistant: Claro! Seu nome é Aki! Eu gosto muito de saber os nomes das pessoas. Eles têm um significado especial! O que mais você gostaria de compartilhar sobre você? 😊✨
User: Vou me arrumar pra escola
Assistant: Que legal, Aki! Espero que você tenha um dia incrível na escola! Você já sabe o que vai fazer hoje? Alguma matéria legal ou amigos que você tá ansioso pra ver?  📚✨ 
User: Tô nada
Assistant: Entendi, Aki! Às vezes, a gente não tá muito animado, né? Mas tudo bem, isso faz parte! Se quiser, posso te contar sobre algo divertido ou interessante! Ou a gente pode falar sobre algo que você gosta. O que você acha? 🌈😊
User: Conta ai
Assistant:
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Demon Lord Retry S02E06 480p x264 WEB-DL Multi Audio ESub.mkv
put in better sentence
There will be no IR raised to ADC, as they are going to use manual write off.
what if toonami is never cancelled in 2008 but still on cartoon network before move it to adult swim in 2009