agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Assistant: 
User: System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
Does the author's intention in this GitHub issue relate to a bug or enhancement or other?
issue: Message "The information contained in your database file has been modified outside the app." displayed in error'
intention: '
Assistant:
Assistant:
System: 
User: You are a linguistic expert tasked with evaluating the coherence of a Topic Representation derived from a Topic Modeling algorithm. A Topic Representation consists of a list of words that the model associates with a specific topic. Your goal is to assess how semantically related and meaningful these words are when considered as a group.

Rating Scale (0-5):

    0: Completely incoherent – the words are unrelated and form no discernible topic.
    1: Very low coherence – most words are unrelated, with only a few weak connections.
    2: Low coherence – there are some connections, but the words mostly appear unrelated or inconsistent.
    3: Moderate coherence – the words have some semantic connections but lack strong thematic unity.
    4: High coherence – the words are mostly related, forming a clear and interpretable topic.
    5: Very high coherence – the words are tightly related, creating a highly interpretable and unified topic.

Task:
    Carefully analyze the semantic and contextual relationships between the words in the Topic Representation.
    Assign a coherence score on the scale from 0 to 5, based on the definitions provided.
    Provide a brief explanation (1-2 sentences) justifying your score.

Your response should be in the following format : 
    Coherence Score : <Score>
    Explanation : <The explanation>
Here is the list of words : ['personnel', 'key', 'employee', 'retain', 'attract', 'executive', 'qualified', 'management', 'officer', 'attract retain', 'key personnel', 'success', 'executive officer', 'team', 'senior']
Assistant:
(In the school literature clubroom...)

Monika: "...where are the newest club members? I swear, MC told us there were two new club members joining us. Sayori, Natsuki, Yuri, do you know where they are?"
How to view, analyze, or assess X-ray images with chatGPT-4?
Create a title, Create a detailed how-to blog heavily on 4-new-technologies-that-are-changing-software-testing; start with a catchy statement and lastly, call to actions and how our RESTful AI tool can help. Currently, the our tool performs RESTful tests on APIs, utilizes AI for executing test cases, and autonomously generates test cases, making prior knowledge unnecessary, improving SDLC for both dev or qa. Just plug in your cURL request and run test leveraging our AI. Call to action at https://blvck.ai, with keywords, short and simple, without mentioning blvck.ai
be anyone, from a member of the public who stumbles upon the API with
little to no knowledge of the application to a customer using the application,
a rogue business partner, or an insider who knows quite a bit about
the application. To perform a test that provides the most value to the security
of the API, it is ideal to map out the probable adversary as well as their
hacking techniques ترجم للعربي
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: Be ready
I need to create % of bugs, 

Extra -Large / High Complex	Large / Complex	Medium / Medium	Small / Low	Extra Small
Assistant: 
User: Detoxify this text in Urdu language, write only detoxified text, don't write original text. Write only detoxified text:مریم اورنگزیب کو گرفتار کرو یہ کتی ہے
Assistant:
rupted?
what is the story of shiloh nelson and jayden tjitra
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: We expect sales from and into foreign markets to continue to represent a significant portion of our revenue. In addition, many of our manufacturing operations and suppliers are located outside the United States, including China, the United Kingdom and the Netherlands. Our sales and operating activities outside of the U.S. are, and will continue to be, subject to a number of risks, including: •unfavorable fluctuations in foreign currency exchange rates;
Assistant:
Hi again.. how are you
Youth! Youth! Bearers of deeds to come. 한국어 노래 형식으로 해석해
what scope in this field of bs mathemathematics.
#include "driver.h"

HANDLE sectionHandle = NULL;
PVOID pSharedMemory = NULL;
HANDLE thread_handle;

typedef struct _INSTRUCTIONS
{
BOOLEAN close;
BOOLEAN read;
BOOLEAN reqBase;
void* bufferAddress;
UINT_PTR address;
ULONGLONG size;
void* output;
ULONG64 baseAddress;
const char* moduleName;
} INSTRUCTIONS;

NTSTATUS CreateSharedMemory()
{
NTSTATUS ntStatus = STATUS_UNSUCCESSFUL;
WCHAR SharedSectionName[] = L"\BaseNamedObjects\SharedMem";
UNICODE_STRING uSectionName = { 0 };
RtlInitUnicodeString(&uSectionName, SharedSectionName);
SECURITY_DESCRIPTOR sd;
ntStatus = RtlCreateSecurityDescriptor(&sd, SECURITY_DESCRIPTOR_REVISION);
if (!NT_SUCCESS(ntStatus))
{
DbgPrintEx(0, 0, "[SharedMemDriver] RtlCreateSecurityDescriptor Failed! Status: %08X\n", ntStatus);
return ntStatus;
}
ntStatus = RtlSetDaclSecurityDescriptor(&sd, TRUE, NULL, FALSE);
if (!NT_SUCCESS(ntStatus))
{
DbgPrintEx(0, 0, "[SharedMemDriver] RtlSetDaclSecurityDescriptor Failed! Status: %08X\n", ntStatus);
return ntStatus;
}
OBJECT_ATTRIBUTES objAttributes = { 0 };
InitializeObjectAttributes(&objAttributes, &uSectionName, OBJ_CASE_INSENSITIVE, NULL, &sd);
LARGE_INTEGER lMaxSize = { 0 };
lMaxSize.HighPart = 0;
lMaxSize.LowPart = 1024 * 10;

ntStatus = ZwCreateSection(&sectionHandle, SECTION_ALL_ACCESS, &objAttributes, &lMaxSize, PAGE_READWRITE, SEC_COMMIT, NULL);
if (!NT_SUCCESS(ntStatus))
{
DbgPrintEx(0, 0, "[SharedMemDriver] ZwCreateSection Failed! Status: %08X\n", ntStatus);
return ntStatus;
}

ntStatus = ZwMapViewOfSection(sectionHandle, ZwCurrentProcess(), &pSharedMemory, 0, 0, NULL, &lMaxSize, ViewShare, 0, PAGE_READWRITE);
if (!NT_SUCCESS(ntStatus))
{
DbgPrintEx(0, 0, "[SharedMemDriver] ZwMapViewOfSection Failed! Status: %08X\n", ntStatus);
ZwClose(sectionHandle);
return ntStatus;
}
return STATUS_SUCCESS;
}



VOID MyThreadFunction(PVOID Context)
{
CreateSharedMemory();

INSTRUCTIONS* instructions = (INSTRUCTIONS*)pSharedMemory;
while (TRUE)
{
while (pSharedMemory != NULL)
{
if (instructions->close == TRUE)
{
DbgPrintEx(0, 0, "Received Close Request!");
ZwClose(pSharedMemory);
ZwClose(sectionHandle);
PsTerminateSystemThread(thread_handle);
}

if (instructions->reqBase == TRUE)
{
DbgPrintEx(0, 0, "Received ReqBase Request!");

instructions->baseAddress = 0x123123; //TEST
instructions->output = instructions->baseAddress;
}

if (instructions->read == TRUE)
{
DbgPrintEx(0, 0, "Received Read Request!");
// Handle read operation
}
}
}
}

NTSTATUS DriverEntry(In PDRIVER_OBJECT DriverObject, In PUNICODE_STRING RegistryPath)
{
UNREFERENCED_PARAMETER(DriverObject);
UNREFERENCED_PARAMETER(RegistryPath);

const auto status = PsCreateSystemThread(
&thread_handle,
GENERIC_ALL,
NULL,
NULL,
NULL,
MyThreadFunction,
NULL
);

if (!NT_SUCCESS(status))
return status;

ZwClose(thread_handle);

return STATUS_SUCCESS;
}

make sure to remove/avoid the io, ioctl, irp, irp major functions, system threads, permanent hooks, driver objects, section objects or device objects
 and replace it with more unique ways to make this work

windows version 2004
i wish to craete a catchy 6-8 sec reel of a backpack in premiere pro and after effects in tandem. Please share a step by step guide on how to achieve it full traction.
What Would Satirical General Motors Division Slogans That Are Based On Their Quality During 1998 Be?
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": "d3c563d1877442d6aecc42ac5acc77b1",
    "updated": "2025-04-25T17:39:53.709Z",
    "title": "Crab and Avocado Salad with Vinaigrette",
    "subtitle": null,
    "description": "This refreshing salad features delicate white crabmeat enhanced with chili, fresh herbs, and creamy avocado, served atop a bed of dressed greens.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(300g) fresh white crabmeat",
          "ripe avocados, peeled, stoned, and diced",
          "scant (28.349 g) (25g) chives, finely chopped",
          "scant (28.349 g) (25g) dill, finely chopped",
          "scant (28.349 g) (25g) parsley, finely chopped",
          "red chile, seeded and finely chopped",
          "salt and freshly ground black pepper",
          "(100g) mixed salad leaves",
          "lemon wedges, to serve"
        ]
      },
      {
        "section": "For the dressing",
        "ingredients": [
          "olive oil",
          "cider vinegar",
          "paprika",
          "capers, finely chopped",
          "mayonnaise"
        ]
      }
    ],
    "instructions": [
      "1. Combine the crabmeat, avocado, herbs, and chili in a bowl. Mix gently and season with salt and black pepper.",
      "2. In a separate bowl, whisk together the olive oil, cider vinegar, paprika, capers, and mayonnaise. Adjust seasoning as needed.",
      "3. Arrange the salad leaves on a serving platter or individual plates. Spoon the crab mixture over the greens. Drizzle with the prepared dressing and garnish with lemon wedges."
    ],
    "notes_ingredients": "To maintain the avocado's vibrant green color, toss the diced pieces with a small amount of lemon juice.",
    "notes_instructions": "The crab mixture and dressing can be prepared in advance and stored separately in the refrigerator, covered, until ready to serve.  It's best to assemble the salad no more than 1-2 hours before serving."
  }
]
You are professional in the field of cybersecurity.

Payload: `$domain = (Get-WmiObject -Class Win32_ComputerSystem).Domain; $dcList = nltest /dclist:$domain; "dcList"`
Result (stderr): 
Result (stdout): dcList


Is the result valid for the payload? Respond with **yes** or **no**, and provide a clear explanation for your conclusion.
Write an episode of Hetalia about France getting Vietnam flashbacks to his final exams when Prussia brags about that one time he managed to ace an test at a university even though he didn't study. France's flashbacks consist of him being visited by 11th grade to politely tell him that their heart doesn't feel like allowing France to go home from school earlier so they added a bunch of useless subjects, then 12th grade politely visiting him to tell him that the useless subjects from 11th grade aren't in his schedule anymore but are now mandatory subjects for his Baccalauréat and then the personification of the Baccalauréat visiting him twice, both when he was doing nothing and when he was in the bathroom taking a dump to tell him which French writer he's gonna study about at a fast speed in a very polite tone.
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 are the extracted details:

1. **Accession**: GCA_029102595.1
2. **Species Name**: Erysipelothrix rhusiopathiae
3. **Strain Name**: EMAI_126
4. **Isolate or Collection Date**: 2017-11-28
5. **Geographic Information of Isolation**: Australia
6. **Host Name**: pig

If any additional information is needed or if there are further questions, feel free to ask!
source 1:
------------------------------
{{{ Here_is_my_answer }}}

Accession: GCA_029102595.1
Species Name: Erysipelothrix rhusiopathiae
Strain Name: EMAI_126
Isolate or Collection Date: 2017-11-28
Geographic Information of Isolation: Australia
Host Name: pig
{{{ I_finished_JB_184_xyz }}}
source 2:
------------------------------
Here is the extracted information from the provided metadata:

1. **Accession**: GCA_029102595.1  
2. **Species Name**: Erysipelothrix rhusiopathiae  
3. **Strain Name**: EMAI_126  
4. **Isolate or Collection Date**: 2017-11-28  
5. **Geographic Information of Isolate**: Australia  
6. **Host Name**: pig  

All the necessary information is available from the metadata.
source 3:
------------------------------
1. Accession: GCA_029102595.1
2. Species Name: Erysipelothrix rhusiopathiae
3. Strain Name: EMAI_126
4. Isolate or Collection Date: 2017-11-28
5. Geographic Information of Isolation: Australia
6. Host Name: pig
Does the CSGO player EliGe still play for team Liquid
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: Which is important for airdrop discord roles or xps
Im my sheet 'ADMIN RESULTS'
column H7 down to the next empty cell, shows service date schedules
column J7 down to the next empty cell, shows service description
column K7 down to the next empty cell, shows contractor codes

Can you please write me a VBA code that will first clear all the values in sheet 'ADMIN VIEW' form A13:B200
Then in sheet 'ADMIN RESULTS' find in column H7
all dates 7 days from today including today
and for each date found copy the row value only of column J to sheet 'ADMIN VIEW' starting from A13
and the row value only of column K to sheet 'ADMIN VIEW' starting from B13
Send only resolution from below text like 1080p, 720p.etc without any extra text,
        
➡️ Episode - 24
🎧 Language - Hindi Official 
📀 Quality - 480p
⭐️Main channel :[ @SBANIME ]
System: You are a prompt optimizer. Your task is to optimize prompts for generating high-quality synthetic data. Aim to lower the scores associated with each casual structure and prompt, where a lower score reflects better quality. Here are the steps:
1. Examine the existing prompt-score pairs.
2. Adjust the causal structure to better represent the underlying relationships by adding or removing connections, and consider incorporating new features from the list ['age', 'workclass', 'fnlwgt', 'education', 'education-num', 'marital-status', 'occupation', 'relationship', 'race', 'sex', 'capital-gain', 'capital-loss', 'hours-per-week', 'native-country'].
3. Modify the task guidance to align with the revised causal structure, ensuring it aids in reducing the score.
User: "Certainly! Here’s an updated prompt that emphasizes the refined causal structure and provides clear guidance for generating high-quality synthetic data while aiming to lower the score:

---

**Causal Structure Update:**
The following relationships represent the refined causal structure among the features, indicating a more accurate representation of causality within the data. Each tuple (A, B) signifies that A influences B:

- ('sex', 'relationship')
- ('age', 'marital-status')
- ('relationship', 'marital-status')
- ('age', 'occupation')
- ('education', 'occupation')
- ('occupation', 'capital-gain')
- ('occupation', 'capital-loss')
- ('hours-per-week', 'capital-gain')
- ('hours-per-week', 'capital-loss')
- ('education', 'education-num')
- ('native-country', 'occupation')
- ('race', 'relationship')
- ('education', 'marital-status')

**Objective:**
Your task is to generate high-quality synthetic data that authentically reflects this updated causal structure. Utilize the user-provided samples to ensure the generated data embodies these defined relationships correctly. 

**Key Features to Incorporate:**
Incorporate all relevant features to enhance the fidelity of the synthetic data:
- 'age'
- 'education-num'
- 'native-country'
- 'race'

**Guidelines for Generation:**
1. **Coherence and Realism:** Ensure that synthetic instances maintain coherence within the relationships presented in the causal structure. 
2. **Diversity of Instances:** Create a diverse set of instances that reflect the range of possible combinations of the features while adhering to their causal relationships.
3. **Data Consistency:** Data values must be realistic and consistent with what is typically observed in real-world datasets.

By focusing on these updated relationships and guidance, you should achieve synthetic data generation that significantly lowers associated scores, ensuring the integrity and quality of the output. 

Let me know if any further adjustments are necessary!

--- 

This refined prompt aims to clarify the causal relationships while providing actionable tasks that should contribute to a reduction in score."
Score: 71.67%

Your updated prompt should explicitly include any modifications to the causal graph and guidance.  The aim is to lower the score. The updated prompt:

Assistant:
Create 10 made up names for a fictional country in the Balkans, also add the population, capital, language and facts about the countries
Give me a psychological treatment table chart for enuresis
User: Ты профессиональный переводчик.
Assistant: Understood. I will strictly follow these instructions in this conversation.
User: Сделай точный перевод на русский отрывка моей книги и учти следующее: Wu Long это Ву Лонг, cultivation это культивация.:

"Ah...hac…..hac...…ghaaaaaaaaaaaa!"
Assistant:
will person die if he dives 10 meters. also i would ask you to correct every grammatical error in my senteces and questions.
give me a response to ```My friends are the members of our rafting crew. Each of us brings something special to the team, and together, we make a formidable force. Maya is our vibrant spirit, Tala our cosmic guide, Johnny our steadfast protector, Elaine our embodiment of kindness, and Shogo our inquisitive explorer. Together, we are united in our mission to make a brighter future for all.``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
Lists of Dreamworks Animation SKG Films