agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Assistant: 
User: 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
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
Does the author's intention in this app review relate to a bug report or feature request or other?
review: When #At&amp;T takes over #CNN and #CNN still remains hostile to our President and the Divisiveness towards our Country, I will be Canceling my service with AT&amp;T and go with another company'
intention: '
Assistant:
Assistant:
You are a digonistician in a hosptial. the following content is the metadata for a bacterial isolate from 2 different sources of medical cases. The metadata from each source includes information after <doc>
    <doc>
        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
    <doc/>

You need to extract and output information in the format shown below without explaining how to get such results:
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
    <output>
        accession number: xxxx->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 value from different sources. If xxxx from these 2 different sources are inconsistent, then, xxxx should include all the values from different resource and seperated by "::". If the metadata from all resource shows this isolate is vaccine, the value for "vaccine:" is "yes", otherwise, "no". You must be very careful, No mistake is allowed!!! If you make a mistake, the people in the hospital will die due to the wrong information.

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_029074635.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_41->isolate or collection date in yyyy-mm-dd: 1982-06-23->geographic information of islateion: Australia->host name: pig->mlst type: 94->serotype: N/A->vaccine: no
<output/>
source 1:
------------------------------
accession number: GCA_029074635.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_41->isolate or collection date in yyyy-mm-dd: 1982-06-23->geographic information of islateion: Australia->host name: pig->mlst type: 94->serotype: N/A->vaccine: no
Come up with a prompt to create an abstract painting of modern art on the theme of the ancient antique city of Hecatonnesi. So that I can give them to the generative model and it will create a work of art as if painted by a famous artist. Use modern colors and describe in detail what should be in the prompt and what colors are used. It doesn't necessarily have to be ruins, but rather a view of the city when it was still in its prime. Without your comments!
Send only resolution from below text like 1080p, 720p.etc without any extra text,
        
[Toonworld4all] Aoashi S01E19 480p HS WEB-DL Dual Audio ESub.mkv
Generate an image creation prompt specifically optimized for the Flux Schnell model. The prompt should vividly describe the scene or concept expressed by the following sentence: 'Her story is a reminder that the history of sex is interwoven with the broader narratives of power and societal change.'. Include details on style, mood, composition, and any specific visual elements necessary for accurate rendering.
User: hi
Assistant: Hello! How can I assist you today?
User: hi
Assistant: Hello again! Is there something specific you'd like to talk about or ask?
User: who are you
Assistant:
list of viral 2021 songs
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: Means break
Sketch a vapour-compression refrigeration cycle (with super-heating and
sub-cooling) on a p-h diagram.
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": "b8d923c695d14f20920735f4d3c61e1f",
    "updated": "2025-05-08T23:47:36.832Z",
    "title": "Tyrion's Grilled Shrimp",
    "subtitle": "Once again, poor Tyrion endures a short joke. These shrimp would have been a wonderful consolation when enjoyed with a redheaded companion in one of the city's vibrant settings.",
    "description": "",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "olive oil",
          "fresh parsley, chopped",
          "juice from",
          "hot sauce",
          "minced garlic",
          "tomato paste",
          "dried oregano",
          "salt",
          "black pepper, ground",
          "large shrimp with tails attached, peeled and deveined",
          "bamboo or metal skewers"
        ]
      }
    ],
    "instructions": [
      "1. Preheat the outdoor grill or barbecue to medium heat.",
      "2. Combine the garlic and salt, then crush them together using a mortar and pestle or the back of a metal spoon.",
      "3. Add the black pepper, paprika, olive oil, and lemon juice, mixing thoroughly until a paste forms.",
      "4. Place the shrimp and paste into a large bowl, tossing until the shrimp are evenly coated.",
      "5. Lightly oil the grill with cooking spray, then cook the shrimp for 3 minutes on each side or until they turn opaque.",
      "6. Serve immediately and enjoy."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
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:

ما تخلطش قلت الحق يا خويا أكثر من شطر الشعب يحب يسقط النظام و كعبات يبكيو على الخدمة قبل الانتفاضة يبدا
[ do this to below ] - change to this [ young [ thinking 21-24 years old ] , ruthless, heel - businessman vibe - stable - brothers - with a father manager ] - this is the gimmick - but i dont want a wrestling gimmick right now - i want a core idea only - no wrestling gimmick yet - i want it as long as the home paragraph though 

[

I want this rewritten with all of the home stuff taken out , make it more ruthless, business like, businessman like for the gimmick above - im going to give more info on the gimmick once i have this core idea -
The Vanderbilt offers incredible spaces for inspired living and entertaining. The striking two-story foyer opens into a stunning dining room and leads to an impressive open-concept great room and a casual dining area with rear yard access. The tasteful kitchen is complemented by a large center island with breakfast bar, plentiful counter and cabinet space, a sizable walk-in pantry, a thoughtful workspace, and a butler pantry. An elegant wine room adds sophistication to the space. Defining the alluring primary bedroom suite is a vast walk-in closet and a gorgeous primary bath with dual vanities, a relaxing soaking tub, a luxe shower with seat, and a private water closet. Central to a generous loft are three secondary bedrooms—two feature private baths, and one has a shared hall bath. The basement offers an additional foyer with a walk-in closet and a powder room adjacent to an immense unfinished storage area. Additional highlights include a versatile first-floor bedroom suite with walk-in closet, private bath, and covered balcony; easily accessible laundry; and convenient first-floor powder room.
Home design highlights
Impressive open-concept living area is perfect for year-round entertaining
Alluring primary bedroom suite features vast walk-in closet and gorgeous primary bath
First-floor bedroom suite, generous loft, and unfinished storage area offer versatile living and entertaining options
Who is Andrew Tate
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 need to extract and output consist information below without explaining how to get such results:
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
    <output>
        accession number: xxxx->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 value from different sources. If xxxx from these 2 different sources are inconsistent, then, xxxx should include all the values from different resource and seperated by "::". If the metadata from all resource shows this isolate is vaccine, the value for "vaccine:" is "yes", otherwise, "no". 


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:
------------------------------
```
accession number        species name    strain name     isolate or collection date in yyyy-mm-dd format geographic information of islateion     host name       mlsty type      serotype
GCA_029073125.1 Erysipelothrix rhusiopathiae    EMAI_123        2017-11-28      Australia       pig     MLST:75 N/A
```
source 1:
------------------------------
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:

آي آي آي يصعبوا زعمة زعمة
(In a large field at night, the player has just completed a request for Ayumi - a Skeleton girl.)

Ayumi: “[player]! You got my arrows back!”

[player]: “Sure did, Ayumi! How’s everything going now?”

Ayumi: “Much better, thank you! With my arrows returned, I feel much safer now.”

[player]: “That’s great to hear!”

Ayumi: “It really is! I can’t express how grateful I am for your help. Those arrows are not only my weapons but also a part of me.”

[player]: “I’m glad I could assist you, Ayumi. Is there anything else I can do for you?”
Cars often have ________ networks.
Question 1Select one:

A.
Exhaust and fuel injection

B.
IPv7 and IPv6

C.
Wi-Fi and Bluetooth

D.
ROVER-5 and ethernet
i've written this code
int solve(int i, vector<int>&nums, int target){
        if(target==0){
            return 1;
        }
        if(i>=nums.size() || target<0){
            return 0;
        }
        
        //taking an element
        int take = solve(i,nums,target-nums[i]);

        //not taking an element
        int notTake = solve(i+1,nums,target);

        return take + notTake;


    }
    int combinationSum4(vector<int>& nums, int target) {
        
        return solve(0,nums,target);
    }
};

i've written this code for combination sum 4 but few of the cases where the ordering does matter are not being captured please help me think through the solution don't provide me the code 
give me hints so that i can get through the solution myself
Objective: To generate persona-based conversational datasets using an enhanced methodology that involves creating and expanding personas, and then matching them to produce rich, persona-driven conversations. This process aims to foster deeper interactions between chatbots and users by incorporating detailed personas that reflect users’ diverse backgrounds, interests, and behaviors.

Methodology Overview:

- Persona Creation: Begin with a set of seed personas. Each persona should encapsulate a unique set of attributes and characteristics that reflect hypothetical but realistic users. Attributes can include hobbies, occupation, family status, preferences, etc.

- Persona Expansion: Utilize unsupervised Large Language Models (LLMs) to augment the initial set of personas. This process involves:
- Query Induction: From the seed set, infer key questions (queries) that relate to persona attributes.
- Persona Bootstrapping: Using the queries derived, prompt LLMs to generate additional persona attributes, effectively expanding the diversity and number of personas.

- User Profile Construction: From the expanded set of persona attributes, construct user profiles. Ensure these profiles are consistent (no conflicting attributes) and sufficiently detailed.

- User Matching: Pair user profiles based on shared or complementary attributes to facilitate engaging conversations. Consider using a similarity scoring system to guide the matching process.

- Conversation Generation: For each matched pair of user profiles, employ a conversation generation step where plausible dialogues between the user pairs are produced. This step should involve iterative refining to enhance the quality and faithfulness of the generated conversations.

Expected Output Schema:
{
“conversations”: [
{
“user_profiles”: [
{
“user_id”: “user1”,
“persona_attributes”: [“Attribute1”, “Attribute2”, …]
},
{
“user_id”: “user2”,
“persona_attributes”: [“Attribute3”, “Attribute4”, …]
}
],
“generated_conversation”: [
{“speaker”: “user1”, “utterance”: “How do you feel about <topic>?”},
{“speaker”: “user2”, “utterance”: “I really enjoy <topic> because…”},
…
]
},
…
]
}

Rules and Guidelines:

1. The entire process from persona creation to conversation generation should be automated, leveraging the capabilities of LLMs.
2. Ensure the generated personas and conversations are diverse, covering a wide range of hypothetical user backgrounds.
3. Maintain high-quality and coherence in conversations, ensuring they are realistic and align with the personas.
4. Include mechanisms for quality control and refinement at each step, especially during the conversation generation phase to ensure the resulting dialogues are both engaging and faithful to the constructed personas.

Evaluation Criteria:
- Diversity and richness of the generated personas.
- Coherence, quality, and faithfulness of the generated conversations to the personas.
- Creativity and innovation in leveraging LLMs for automating the dataset generation process.


INSTRUCTION:
Create a deep conversation in Hindi (but written in English) only and it Must Follow RULES FOR PRODUCING OUTPUT and must be json.
Send only episode number from below text like 01, 02, 03.etc without any extra text.

@TheMbHari - 8k songs 60fps kannulatho. (Telugu) full resolution 8k video song Aishwarya rai
import requests
import json
import datetime

APIKey = '<TRUFFLEHOG_REDACTED_BSCSCAN>'
contract_address = input("Enter the token contract address: ")
bsc_api_base_url = 'https://api.bscscan.com/api'

def get_creator_address(contract_address):
    params = {
    'module': 'contract',
    'action': 'getsourcecode',
    'address': contract_address,
    'apikey': APIKey
    }

    response = requests.get(bsc_api_base_url, params=params)
    if response.status_code == 200:
        content = json.loads(response.text)
        if content['status'] == '1':
            return content['result'][0]['ContractCreator']
    return None

def get_listing_date(creator_address):
    params = {
    'module': 'account',
    'action': 'txlist',
    'address': creator_address,
    'sort': 'asc',
    'apikey': APIKey
    }

    response = requests.get(bsc_api_base_url, params=params)
    if response.status_code == 200:
        content = json.loads(response.text)
        if content['status'] == '1':
            transactions = content['result']

            for tx in transactions:
                if tx['input'][:10] in ['0xe8e33700', '0xf305d719', '0xeaaed442', '0x4bb278f3', '0x8a8c523c', '0xc9567bf9']:
                    timestamp = int(tx['timeStamp'])
                    listing_date = datetime.datetime.fromtimestamp(
                    timestamp).strftime(' %Y - %m - % d % H: % M: %S')
                    return listing_date

    return None

creator_address = get_creator_address(contract_address)
if creator_address:
    listing_date = get_listing_date(creator_address)
    if listing_date:
        print("Token listing date:", listing_date)
    else:
        print("Error: Listing date not found")
else:
    print("Error: Creator address not found")

The code above gives an error

C:\Users\AshotxXx\PycharmProjects\TokenAge\TokenAgeTrading\venv\Scripts\python.exe C:\Users\AshotxXx\PycharmProjects\TokenAge\TokenAgeTrading\main.py 
Enter the token contract address: 0x0a45eBdF0ba2Bd005C32AbeEf1BB534c563c146A
Traceback (most recent call last):
  File "C:\Users\AshotxXx\PycharmProjects\TokenAge\TokenAgeTrading\main.py", line 48, in <module>
    creator_address = get_creator_address(contract_address)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\AshotxXx\PycharmProjects\TokenAge\TokenAgeTrading\main.py", line 21, in get_creator_address
    return content['result'][0]['ContractCreator']
           ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
KeyError: 'ContractCreator'

Process finished with exit code 1

Fix it
肉眼如何分辨视差图还是深度图
Respond to this message in the appropriate language: Translate the following text into Korean. The output must be wrapped by "```", without any other explanations.
```
フ人フ人
```

Remember that you have access to the Google search engine and the ability to explore the internet. It's crucial that you generate your responses based on the information you find through these searches. It's important to note that sometimes the information obtained may not be complete; therefore, it's advisable that you try to complement and improve those parts that may have gaps or deficiencies: