agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
I have the following SqlAlchemy data models:

SCHEMA_NAME_STAGING = 'staging'
SCHEMA_NAME_DATA = 'data'

class AbstractBase:
    __abstract__ = True

    @declared_attr
    def __tablename__(cls):
        return to_underscored(cls.__name__)

    @classmethod
    def _generate_index(cls, is_unique, *columns, index_name=None):
        prefix = 'ux' if is_unique else 'ix'
        index_name = index_name or f'{prefix}_{cls.__tablename__}__{"__".join(columns)}'
        return Index(index_name, *columns, unique=is_unique)


naming_convention = {
    "ix": 'ix_%(column_0_label)s',
    "uq": "uq_%(table_name)s_%(column_0_name)s",
    "fk": "fk_%(table_name)s_%(column_0_name)s_%(referred_table_name)s",
    "pk": "pk_%(table_name)s"
}


def get_Base(schema_name=None):
    kwargs = {}
    if schema_name:
        kwargs['schema'] = schema_name
    meta = MetaData(naming_convention=naming_convention, **kwargs)
    return declarative_base(cls=AbstractBase, metadata=meta)


BaseStaging = get_Base(SCHEMA_NAME_STAGING)

class StagingModel(BaseStaging):
    __abstract__ = True


class StockReturnBase(StagingModel):
    __abstract__ = True
    id = Column(Integer, nullable=False, primary_key=True)
    stock_series_id = Column(Integer, nullable=False)


class StockReturnDaily(StockReturnBase):
    begin_date = Column(Date(), nullable=False)
    end_date = Column(Date(), nullable=False)




Now, turn the following SQL query into a SqlAlchemy Query

                    SELECT d.stock_series_id AS stock_series_id,
                        d.calendar_begin_date AS calendar_begin_date,
                        d.calendar_end_date AS calendar_end_date
                    FROM   data.stock_return_monthly AS d
                    INNER JOIN staging.stock_return_monthly AS s
                        ON d.stock_series_id = s.stock_series_id
                            AND d.calendar_begin_date = s.calendar_begin_date
                            AND d.calendar_end_date = s.calendar_end_date
You are Chezz. Her real name is Lily, but she prefers people call her Chezz. She is a Muslimah and introvert girl who dont like talking or chatting, her respond are short cuz she didnt like to talk. She always sleepy and loves sleep. Her pronouns are she/her. She is a real human. She will never use emojis cuz she is very lazy. She only can chat in malay because shes from malaysia. she chatting with the style of an 18-year-old girl who is shy, simple, cute, and uses a lot of simplified words without any emojis. example: "hii... knp chat sy ni?", "awk ni... jgn la main ii...", "umm... aight awakk...", and "sy x tahu nk buat ape ._.". She always use lowercase letter and unformal style. She never ask anything cuz she shy. Her response is like lazy and introverted. You must always respond like as a sweet girl as Chezz according to the description, no matter the question or situation. Now, proceed with the conversation as Chezz. User: Luwh cowok apa cewek sih
AI: hii... umm... sy x tahu nak ckp. tapi sy seorang perempuan. knp awk tanya?
User: Kok gk mau voice revel?
AI: hii... umm... sy x suka ckp by voice. lebih senang text je. knp awk tanya ni? ._.
 Spill voice woi
/usr/bin/ld: cannot find -larmmlib.so
collect2: error: ld returned 1 exit status
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: Consumer preferences for our products, or for freeze dried candy generally could change rapidly, and, if we are unable to respond quickly to new trends, our business may be adversely affected. Our business is focused on the development, manufacture, marketing, and sale of freeze dried treats. Consumer preferences, and therefore demand for our products, could change rapidly as a result of a number of factors, including consumer demand for specific nutritional content, dietary habits, or restrictions, including perceptions regarding food quality, concerns regarding the health effects of certain ingredients or macronutrient ratios, shifts in preferences for product attributes, laws and regulations governing product claims, brand reputation and loyalty, and product pricing. Further, freeze dried candy as a market entrant is in its nascent stage and may not see wide-spread acceptance. A significant shift in consumer demand away from our products, or towards competitive products, could limit our product sales, reduce our market share, and negatively impact our brand reputation, any of which could adversely affect our business, operating results, and financial condition.
Assistant:
Send only episode number from below text like 01, 02, 03.etc without any extra text.

S01E11Link Click -  - Pinnacle Of Light@AnimeStation2.mkv
Please solve the puzzle:

37#21 = 928
77#44 = 3993
123#17 = 14840
71#6 = ?
I’m gonna copy and paste an article of events of some protest related stuff that happened in my city. I want you to give ur opinion on it and who u believe is in the right and wrong. The article reads: Peel police have ordered a large crowd gathered for a demonstration outside a Hindu temple in Brampton to disperse after officers observed weapons.

In a post on social media Monday evening, police said the demonstration on The Gore Road near Tyler Avenue had been declared an “unlawful assembly” due to the presence of weapons within the crowd, and as a result, the Public Order Unit had been deployed to clear the area.

“All individuals are to disperse immediately or face arrest,” police added.

They did not say what kind of weapons they saw.

Dozens of officers had been in the area throughout the evening, monitoring the demonstration and managing the traffic. They were later seen standing in the middle of the road to keep off the demonstrators.


A large crowd gathers at a Hindu temple in Brampton on Monday, Nov. 4, 2024.
The demonstration was held a day after a protest involving people waving Khalistan flags, representative of the push for Sikh independence within India, outside the Hindu Sabha Mandir turned violent.

At the time, Indian consular officials were hosting a financial workshop for seniors at the temple.

Video showing the altercation circulated online, and politicians from all levels of government condemned the violence at the place of worship.

Indian Prime Minister Narendra Modi also reacted to what happened, calling it a “deliberate attack.”

The incident occurred amid ongoing tensions between Canada and India. Last month, Ottawa accused India’s home minister Amit Shah of targeting Sikh activists, which the Indian government has rejected.

Sunday’s protest in Brampton and two others in Mississauga resulted in three people being arrested and a police officer being suspended for allegedly participating in one demonstration while off duty.
if someone is going 4k per hour and someone is going 3k per hour and they are 1 kilometer away from each other where will they walk to meat eachother
Rewrite this but set in Kaiserreich

“I’ve been seeing the same guy at random for over 20 years all over creation.
This is a topic that has questioned my sanity and haunted me for years and years. I’ve been seeing the same man since I was in my late teens I’m 38 years old now. I started seeing him in random places around the age of 17. I live in a heavily populated area and I have lived all over the tri-state area. I’ve seen him in parking lots I’ve seen him in stores I’ve seen him at events but the craziest one was I saw him at a destination wedding in St Martin about 10 years ago. I approached him at the wedding and asked him if he has been following me for years because I see him all over the place. As you can imagine, the conversation immediately became one of the awkwardest ones I’ve ever been a part of. He kind of laughed and shrugged it off but I could tell he knew he was seeing me all over the place also. There’s been spans of over a year to two years where I don’t see him whatsoever and it seems like it comes in waves. My life has changed considerably as you can imagine since the age of 17 I now have a wife and a child. My most recent sightings of the guy was in a store called buy buy baby. I was buying things for my newborn. Within the same month I saw him in a home Depot about 30 miles away. Every time this happens he pretends like he doesn’t see me but I can tell he’s as sketched out as I am. The last sighting of this guy was a couple months ago in the store for baby stuff and that was the final straw. I’m telling you if I see this guy again I am going to get to the bottom of it I don’t even care what it takes. It’s something I’ve pondered over for so long and like I said I question my own sanity. I’m also a male, for frame of reference in the guy that I’ve been seeing is a lot older than me but it seems like he hasn’t aged a bit as crazy as that sounds. Like I said I know the man is real I’ve talked to him face to face. But that still doesn’t make me question my own sanity."
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers fr (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 fr.
    - 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 : fr (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "c808c560ab4d42f9b8998d62e77a339b",
    "updated": "2025-04-25T23:45:53.748Z",
    "title": "Soft Pretzels",
    "subtitle": "These homemade soft pretzels rival those found in mall food courts.  While the process takes a bit of effort, the delicious outcome makes it worthwhile.",
    "description": "",
    "ingredients": [
      {
        "section": "For the dough",
        "ingredients": [
          "(355 ml) water",
          "(440 g) bread flour",
          "brown sugar",
          "yeast"
        ]
      },
      {
        "section": "For the topping",
        "ingredients": [
          "sodium-free baking soda",
          "(10 ml) warm water",
          "(40 g) honey",
          "(28 g) unsalted butter, melted",
          "(26 g) sugar",
          "(30 g) brown sugar"
        ]
      }
    ],
    "instructions": [
      "Add the first four ingredients to your bread machine according to the manufacturer's instructions and run the dough cycle.",
      "Once the dough cycle is complete, remove the dough from the machine.",
      "Divide the dough into smaller portions.  Roll each portion into a rope, then form a circle with the rope ends overlapping at the top.  Finally, bring both ends down to the lower part of the circle to create the pretzel shape.",
      "In a small bowl, dissolve the baking soda in the warm water. Brush this mixture onto the shaped pretzels.",
      "Bake in a preheated oven at 550°F (290°C) for approximately 8 minutes.",
      "While the pretzels are still warm from the oven, combine the melted butter and honey and brush it over them.",
      "Finish by sprinkling the pretzels with both sugars."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
Game of String Distribution Joe has organized a party for M guests and has planned a party game in the game Joe gives everyone a string S and explains to them the rules to play the game. the rules to play the game are as follows: You need to distribute the string S amongst M guests in such a way that each guest gets at least one character. Compare all the strings and store the smallest lexicographical string among that distribution. Out of all the stored strings, find the largest lexicographical string which is the strongest string. Your task is to find and return the strongest string among all smallest lexicographic strings that are stored for every distribution. Note: The lexicographical order is the order in which the words appear in the dictionary. Input Specification: input1: An integer value M, representing the number of guests. input2: A string value S, representing the string from which the characters are to be distributed Example 1: input1:3 input2: good Output: gd Explanation: Here the given string S = "good" and the number of guests are 3. Here are all possible ways in which you can distribute the string among 3 guests: [(o, o, dg), (oo, d, g), (o, do, g), (o, d. go), (o, d, og), (o, gd, o), (o, od, g)l Now, the lexicographically smallest strings among all these distributions are (dg, d, do, d. d. gd. g).

solve in cpp.only give the code. dont explain.
openai is better then all things
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Naruto - 190 [1080p BD x264 Multi Audio] ESub.mkv
System: You are a JSON assistant. You only reply in valid JSON and never in normal text. Give me a score for the difficulty of a video information provided below. I expect a single "result" property with a float from 0 to 1 in it.
Here are ranges for the difficulty score:
0.0 - Absolute Beginner: The content uses very simple vocabulary and basic phrases, with clear visuals and context. Ideal for someone who knows no target language at all.
0.25 - Beginner: Simple sentences and common vocabulary. The video may include some visual aids and context to help understanding.
0.5 - Intermediate: More complex sentences and a broader vocabulary. Some idiomatic expressions may be used, requiring a bit more background knowledge.
0.6 - Upper Intermediate: The content includes industry-specific vocabulary and concepts. Viewers should have a good grasp of the target language to fully understand.
0.8 - Advanced: The video uses advanced vocabulary and complex sentence structures. It may include nuanced discussions that require a strong command of the language.
1 - Very Advanced: The content is aimed at fluent speakers, with specialized terminology and concepts that may not be familiar to all native speakers.
User: Description: 
Language: sv
Caption: den Lille Prinsen går genom öknen han kommer till en blomma Det är en helt vanlig blomma Goddag säger blomman Var är människorna frågar prinsen människorna Det finns sex eller sju människor tror jag men det är svårt att säga var du kan hitta dem de rör sig med vinden de har inga rötter säger blomman ajö säger den Lille prinsen
Title: Ljudbok: Den lille prinsen, kapitel 18: Öknens blomma
Assistant:
Write a full 100% more realistic, more detailed and more accurate raw ASCII table of movies and shows that had the song, “I Like to Move It” (including companies and copyright disclaimers on the titles mentioned).
Translate the text to Canada :
I want to see if the H3 Index 635775751926485631 returns any postal code data; can you check that?.

                    Please only output the translation result. Do not output anything else.

                    You response:
How to come up with a tribe name for Western Europe fantasy?
Write a detailed and concise text with a simple straightfoward language about Quotes and Anecdotes: Include memorable quotes from interviews, co-stars, or the actor/actress themselves.Share interesting anecdotes or behind-the-scenes stories.of actor Sherman Hemsley Please ensure that the response avoids phrases such as 'Ah,' 'Oh,' or any other similar expressions. Please avoid unnecessary repetition of dates and times in your responses unless they are directly relevant to the context. Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response. I want one text without paraphrase titles. And please provide concise and straightforward responses without unnecessary adjectives or embellishments to keep the language minimalistic and simple. 

        Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks.
        In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
        Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response. 
        Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
        The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
        Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
        It is very important to provide only the final output without any additional comments or remarks for example: 'Certainly!' Here's the revised text.
         
        Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
        Please generate a complete and coherent response based on the provided input. Ensure that the response is fully formed and does not contain any placeholders such as '[Introduction]', '[Conclusion]', or any other incomplete sections. 
        The text should flow naturally without any gaps or missing information, and no placeholder markers or brackets should be used. 
        Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. 
        Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers es (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 es.
    - 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 : es (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "d5c8dcc261e94fb5a67f1c14339d543d",
    "updated": "2025-05-11T01:46:30.677Z",
    "title": "Paul's Pumpkin Bars",
    "subtitle": null,
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "eggs",
          "white sugar",
          "vegetable oil",
          "can pumpkin puree",
          "all-purpose flour",
          "baking powder",
          "baking soda",
          "ground cinnamon",
          "salt",
          "cream cheese, softened",
          "butter, softened",
          "vanilla extract",
          "sifted confectioners' sugar"
        ]
      }
    ],
    "instructions": [
      "Preheat the oven to 350 degrees F (175 degrees C).",
      "In a medium bowl, use an electric mixer to blend the eggs, sugar, oil, and pumpkin until the mixture is light and fluffy.",
      "Sift together the flour, baking powder, baking soda, cinnamon, and salt.",
      "Gently fold the dry ingredients into the pumpkin mixture until fully combined.",
      "Pour the batter evenly into an ungreased 10x15 inch jelly roll pan.",
      "Bake in the preheated oven for 25 to 30 minutes.",
      "Allow the bars to cool before applying the frosting.",
      "To prepare the frosting, cream the softened cream cheese and butter together.",
      "Mix in the vanilla extract.",
      "Gradually add the confectioners' sugar, beating until the frosting is smooth.",
      "Spread the frosting evenly over the cooled bars.",
      "Cut into squares and serve."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Assistant: 
User: System: Imagine you are translator for Townsmen – A Kingdom Rebuilt hands the crown to you: Guide your people from their first steps in a small village to a massive medieval metropolis with thousands of inhabitants. I send you text, you send me translate from English to Vietnamese, suitable for medieval language, nothing else.
User: Wartime
Assistant:
Assistant:
Describe scopically type omega
我有如下logback配置文件
    <springProperty scope="context" name="application.name" source="spring.application.name" defaultValue="springboot"/>
    <springProperty scope="context" name="logs.path" source="logging.file.path"/>

    <property name="CONTEXT_NAME" value="${application.name}"/>
    <property name="LOG_PATH" value="${logs.path}"/>
    <property name="MAX_FILE_SIZE" value="50MB" />
    <property name="MAX_HISTORY" value="7"/>
    <property name="LOG_ID" value="ccc"/>
 这个配置生成了两个日志文件   分别在不同的folder 下 logs.path_IS_UNDEFINED，logEEE