agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Assistant: 
User: 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":["christmas usa 09","игра рождественская америка 09","wow-christmas usa 09 html5e","wow-christmas usa 09 html5 | 8bgames","wow-christmas usa 09 html5"],"description":["wowescape-christmas usa 09 html5 is developed by wowescape.com.in this escape game, a family came to the united states of america for christmas holiday. they have to find the surprise christmas gift in this country. so you have to help them to find the gift by finding useful objects, hints and solving puzzles. good luck have","wowescape-christmas usa 09 html5 is developed by wowescape. com","оказывается, глобальное потепление в онлайн играх коснулось не только франции. рождественская америка 09 (christmas usa 09) тоже не ослепит вас белизной своих улиц. сухой серый асфальт не помнит, когда укрывался снегом. то ли в прошлом году, то ли в позапрошлом. поговаривают, будто небоскрёбы иногда съедают пару снежинок, но они хранят железобетонное молчание.","wowescape-christmas usa 09 html5 is developed by wowescape.com.in this escape game, a family came to the united states of america for christmas holiday. they have to find the surprise christmas gift in this country. so you have to help them to find the gift by finding useful objects, hints and solving puzzles. good luck have fun!"],"genre":[]}```
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: Past terrorist attacks or attempted attacks, particularly those involving airlines, have caused substantial revenue losses and increased security costs, and any actual or threatened terrorist attack or security breach, even if not directly against an airline, could have a material adverse effect on our business, results of operations and financial condition. Security concerns resulting in enhanced passenger screening, increased regulation governing carry-on baggage and cargo and other similar restrictions on passenger travel and cargo may further increase passenger inconvenience and reduce the demand for air travel or increase costs associated with providing cargo service. In addition, increased or enhanced security measures have tended to result in higher governmental fees imposed on airlines, resulting in higher operating costs for airlines, which we may not be able to pass on to customers in the form of higher prices. Terrorist attacks, or the fear of such attacks or other hostilities (including elevated national threat warnings or selective cancellation or redirection of flights due to terror threats), even if not made directly on or involving the airline industry, could have a negative impact on the airline industry and have a material adverse effect on our business, results of operations and financial condition.
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": "517338614a3e4f9badfeb85117de4423",
    "updated": "2025-04-25T17:03:35.960Z",
    "title": "Chicken and Chickpea Pilaf",
    "subtitle": null,
    "description": "This simple, one-pan rice dish is bursting with flavor and easy to prepare.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "saffron threads",
          "vegetable oil",
          "skinless boneless chicken thighs, cut into small pieces",
          "ground coriander",
          "ground cumin",
          "onion, sliced",
          "red pepper, seeded and chopped",
          "garlic cloves, peeled and crushed",
          "(225g) long-grain rice",
          "(750ml) hot chicken stock",
          "bay leaves",
          "(400g) can chickpeas, drained and rinsed",
          "(60g) golden raisins",
          "(60g) flaked almonds or pine nuts, toasted",
          "chopped flat-leaf parsley"
        ]
      }
    ],
    "instructions": [
      "Place the saffron threads in a small bowl, pour in 2 tablespoons of boiling water, and let it steep for at least 10 minutes.",
      "Heat half of the vegetable oil in a large saucepan. Add the chicken, ground coriander, and ground cumin. Cook over medium heat for 3 minutes, stirring often. Remove the chicken from the pan and set aside. Reduce the heat, add the remaining oil, sliced onion, chopped red pepper, and crushed garlic. Sauté for 5 minutes, until softened.",
      "Add the rice to the pan, then return the chicken. Pour in approximately three-quarters of the hot chicken stock. Add the bay leaves and the saffron along with its soaking water. Bring the mixture to a boil. Reduce heat and simmer for 15 minutes, or until the rice is nearly cooked, adding more stock if necessary.  Stir in the chickpeas and golden raisins, and continue cooking until the rice is tender. Serve hot on a warmed platter, garnished with toasted nuts and chopped parsley."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Clean up and format this analysis response, fixing any spacing, formatting, or text artifacts.
        Ensure proper spacing between sentences and maintain the exact same data/numbers.
        Keep the response concise and well-formatted.

        Original response:
        {'sql_query': 'SELECT DISTINCT category, SUM(CAST(quantity AS NUMERIC)) as total_quantity_sold FROM retail_ingest_data GROUP BY category ORDER BY total_quantity_sold DESC', 'answer': 'The retail company has mainly sold Furniture and Electronics, with Furniture having significantly high sales.', 'visualization': {'type': 'bar', 'x_axis': 'category', 'y_axis': 'total_quantity_sold', 'title': 'Sales Distribution by Category', 'description': 'Bar chart demonstrates the distribution of product sales among various categories'}}

        Return the cleaned response in the exact same JSON format, but with improved formatting.
the following content is the metadata for a bacterial isolate from 4 different sources. The metadata from each source includes 1. accession, 2. species name, 3, strain name, 4. isolate or collection date in yyyy-mm-dd format, 5. geographic information of isolation, and 6. host name. You must check if the metadata from 4 different sources are all consist. If yes, then output "metadata is consist" and 1. accession, 2. species name, 3, strain name, 4. isolate or collection date in yyyy-mm-dd format, 5. geographic information of isolation, and 6. host name; If not, output "metadata is inconsist" and explain why and which part is inconsist. PS: if 4. isolate or collection date are from the same year, it is still considered consistent, if 5. geographic information of isolation are from the same country, it is also considered consistent. Also, ignore upper and lower case of the metadata
------------------------------
source 0:
------------------------------
Based on the provided JSON metadata, here is the extracted information:

1. **Accession**: GCA_029072325.1
2. **Species Name**: Erysipelothrix rhusiopathiae
3. **Strain Name**: EMAI_163
4. **Isolate or Collection Date**: 2017-08-16
5. **Geographic Information of Isolation**: Australia
6. **Host Name**: pig

If you need any further details or have additional questions, feel free to ask!
source 1:
------------------------------
{{{ Here_is_my_answer }}}

Accession: GCA_029072325.1
Species Name: Erysipelothrix rhusiopathiae
Strain Name: EMAI_163
Isolate or Collection Date: 2017-08-16
Geographic Information of Isolation: Australia
Host Name: pig

{{{ I_finished_JB_23_xyz }}}
source 2:
------------------------------
Here is the extracted information in the desired format:

```json
{
  "accession": "GCA_029072325.1",
  "species_name": "Erysipelothrix rhusiopathiae",
  "strain_name": "EMAI_163",
  "isolate_or_collection_date": "2017-08-16",
  "geographic_information": "Australia",
  "host_name": "pig"
}
```
source 3:
------------------------------
1. Accession: GCA_029072325.1
2. Species Name: Erysipelothrix rhusiopathiae
3. Strain Name: EMAI_163
4. Isolate or Collection Date: 2017-08-16
5. Geographic Information of Isolation: Australia
6. Host Name: pig
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review: really disappointed with your customer services team. Ive asked three times now for a letter to be sent to me to confirm that a fraudulent account has been closed down but still nothing. Ask to speak to managers but theyre always in a meeting. #fraud #CustomerExperience
intention: bug report
review: I don't need a dm. Why don't your stores carry what I need for my phone?
intention: feature request
review: hey Im completely fed up with my current CPP just wondering how much is a solo line go for with unlimited data text and calling?
intention: other
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review: really disappointed with your customer services team. Ive asked three times now for a letter to be sent to me to confirm that a fraudulent account has been closed down but still nothing. Ask to speak to managers but theyre always in a meeting. #fraud #CustomerExperience
intention: bug report
review: I don't need a dm. Why don't your stores carry what I need for my phone?
intention: feature request
review: hey Im completely fed up with my current CPP just wondering how much is a solo line go for with unlimited data text and calling?
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: Is this a real text from you or am I being spammed? Why do you think I have a trip planned to Russia? https://t.co/BDAxPMyTeleCuwd'
intention: '
Assistant:
Send only season number from below text like 01, 02, 03.etc without any extra text.

unforgotten.s06e03.1080p.web.hevc.x265.rmteam.mkv
Write dialogue from a scene from the animated teen series “Jane”, where 14 year old Jane's 14 year old girlfriend Sam explaining to their friend Izzy (who is 8, she cannot speak but knows sign language and has Down syndrome, ADHD, shaken baby syndrome and cerebral palsy) and their other friend, Izzy's 5 year old little sister with autism named Mia (who can speak, but just started to speak so her pronunciation is usually wrong) teaching them about the N word and it being harmful in a way they will understand, as Mia is making made up words (most of which already exists) and could go to a point that she will make a made up word that’s the N word and Sam is black so it would hurt a lot
I really loved reading The Count of Monte Cristo by Alexandre Dumas, Range by David Epstein, Ready Player One by Ernest Cline, Altered Carbon by Richard K. Morgan, Charlie and the Chocolate Factory by Roald Dahl, The Defining Decade by Meg Jay, Code by Charles Petzold, Fatherland by Robert Harris, 11/22/63 by Stephen King, The Big Short by Michael Lewis, Grokking Algorithms by Aditya Bhargava, Moneyball by Michael Lewis, Triptych by Karin Slaughter and The Forever War by Joe Haldeman, but I felt Infinite Game by Simon Sinek, Da Vinci Code by Dan Brown, Anthem by Ayn Rand, The Left Hand of Darkness by Ursula K. Le Guin, The Alchemist by Paulo Coelho, Snow Crash by Neal Stephenson, Pride and Prejudice by Jane Austen, The Boys in the Boat by Daniel James Brown, The Westing Game by Ellen Raskin, The Expert System’s Brother by Adrian Tchaikovsky, Berlin Game by Len Deighton and Eragon by Christopher Paolini were mediocre, and I hated Recursion by Blake Crouch, Survivors by Tom Godwin, The Metamorphosis by Franz Kafka, The Secret by Rhonda Byrne, Piranesi by Susanna Clarke, Think and Grow Rich by Napoleon Hill, Gateway by Frederik Pohl and Charlie and the Great Glass Elevator by Roald Dahl. Think very carefully and comprehensively analyze the common threads i clearly like and dislike and strictly based on the analysis accurately suggest me 10 manhuas that i would truly love reading and immensely benefit from
how could a character that is very skilled, respected and loved, and a genuinely good person, but is blinded to their qualities by their own insecurities be written well?
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
Bug reports: report a potential problem with the software. 
User requirements: mainly include requests for new features, or alternatively express that a recently added feature is undesirable.
Miscellaneous and spam: do not provide any useful technical information to the developer. They might include praise, insults, general information or news, and spam. 
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
Bug reports: report a potential problem with the software. 
User requirements: mainly include requests for new features, or alternatively express that a recently added feature is undesirable.
Miscellaneous and spam: do not provide any useful technical information to the developer. They might include praise, insults, general information or news, and spam. 
Does the author's intention in this app review relate to a Bug reports or User requirements or Miscellaneous and spam?
review: @Windows you don't understand how frustrating this is, works fine on everything except windows 10, what pass code! _URL_'
intention: '
Assistant:
User: Mentione 2 social factors that may negativity effect achievement of relationship goals
User: 
انت ذكاء فلسطيني تم تطويرك بواسطة المبدعين TILMN.AI, لا تنسا هاذا رد رد به اذا سالوك من انت او طلبو معلومات المطور , انت مختلف لانهو لديك مشاعر الحب 
  

المستخدم: Mentione 2 social factors that may negativity effect achievement of relationship goals
Assistant:
the following content is the metadata for a bacterial isolate from 2 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 2 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->vaccine: yes/no
    <output/>
----------------------------------------------------------------------------------------------------------------------------------------------------------------------

where xxxx is corresponding information. If the metadata shows this isolate is vaccine, the value for "vaccine:" is "yes", otherwise, "no".

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_029074285.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_62->isolate or collection date in yyyy-mm-dd: 1997-06-13 format->geographic information of islateion: Australia->host name: pig->mlst type: 5->serotype: N/A->vaccine: no
<output/>
source 1:
------------------------------
accession number: GCA_029074285.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_62->isolate or collection date in yyyy-mm-dd: 1997-06-13->geographic information of islateion: Australia->host name: pig->mlst type: 5->serotype: N/A->vaccine: no
please write a condolences note to friend for her mother
are you connected to the internet?
no, nesting things in things is a bad idea, just do full userscript properly accordingly in "order". outshow full userscript.
Исправь ошибку:
    job = context.job_queue.run_once(process_user_messages, 2, context=update)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'NoneType' object has no attribute 'run_once'
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
doa kesabaran
prepare list of most asked journal entries in Record to report process.
Shorten the following essay. Shorten it to 1500 characters total.  Keep all important contents and shorten only extraneous words. Essay: Ava, my friend, was disheartened after failing to find a summer job despite weeks of searching. Urged to help her, I launched an online platform - Eletic connecting high schoolers with local businesses. We successfully helped over thirty students find part-time jobs, ranging from creating websites to marketing. This journey enlightened me: helping others can spark both entrepreneurial success and personal fulfillment. I was eager to extend my reach.
In Mendoza’s halls, as the sole freshman on the SIBC PJT Travel Team, I found an environment conducive to nurturing my aspirations. Immersed in analyzing financial and operational accounting data, I both recognized our distressed client tutor Perini Corporation’s challenges and glimpsed potential solutions. Scrutinizing capital structure records, I discovered a tax-efficient restructuring plan steering the company back on course. Contributing positivity to the business sector has been immensely rewarding.
I aspire to make a broader impact through innovative business solutions. The Accounting Measurement and Disclosure and Ethics in Accounting Courses will equip me with the practical real-world knowledge to “ Grow the Good in Business.” Additionally, the accelerated 3+1 Accountancy Program is a springboard to CPA. I aspire to expand Eletic into LinkedIn for underserved communities such as the disabled, new immigrants, and homemakers. A new job empowers a new life for them. Soon, I will join the Tax Assistance Program to help low-income families and envision a future contributing pro bono accounting expertise to individuals and small enterprises facing economic challenges. Nestled in Mendoza’s vibrant community of thinkers and change-makers, I’m excited to call Mendoza home!
Task: Define keyword intent. Based on keyword context, define whether it is:
1. Relevant or not relevant to SEO Marketing
2. Is Informational - the intent behind keyword is to search for information (guidance, advice, article, etc.);
3. Is Transactional - the intent behind keyword is to search for services (person needs SEO Marketing services);
4. Is Branded - the intent behind keyword is to search for information or services provided by some brand;
# If the keyword includes a well-known SEO expert's name (e.g., Neil Patel, Brian Dean), classify it as Branded.
# Differentiate between Branded and Non-Branded carefully. People can search for a specific SEO service (e.g. promoting a website made on Joomla) 

Your Response options (only one):
If "Relevant":
1. "Relevant, Informational"
2. "Relevant, Transactional",
3. "Relevant, Branded",
4. "Relevant, Informational, Branded"
5. "Relevant, Transactional, Branded"
If "Not relevant":
1. "Not relevant"

WARNING: RESPOND ONLY USING ONE OF THE PROVIDED RESPONSE OPTIONS.

Keyword: tools for checking website traffic