agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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": "aa382ad98dcd42caa861bbf2d945bc68",
    "updated": "2025-05-10T09:34:06.615Z",
    "title": "Honeycomb",
    "subtitle": null,
    "description": "Honeycomb is often associated with bees and honey, and it makes for a delightful sweet treat. It's easy to prepare and resembles a fascinating science experiment as it forms. Just three ingredients combine to create a versatile flavor enhancer ideal for cakes, cheesecakes, cupcakes, and more!",
    "ingredients": [
      {
        "section": "HONEYCOMB",
        "ingredients": [
          "caster sugar",
          "golden syrup",
          "bicarbonate of soda"
        ]
      }
    ],
    "instructions": [
      "Line a large, deep baking tray with parchment paper; a tray measuring approximately 23 x 33cm works well.",
      "Place the caster sugar and golden syrup into a large pan over low to medium heat, stirring until the sugar dissolves and the mixture becomes sticky.",
      "Increase the heat to medium and simmer until the mixture turns a rich golden brown.",
      "Remove the pan from the heat immediately and quickly add the bicarbonate of soda (do not substitute with baking powder).",
      "Stir gently and observe the mixture rise and bubble; minimal stirring yields the best texture.",
      "Pour the mixture into the prepared tray and allow it to cool and set.",
      "After setting, break the honeycomb into pieces and enjoy."
    ],
    "notes_ingredients": [
      "You may substitute golden syrup with clear honey if preferred."
    ],
    "notes_instructions": [
      "To create a chocolate-covered honeycomb treat, melt 200-300g of dark, milk, or white chocolate and coat the honeycomb pieces."
    ]
  }
]
Is there a way to, with adb, list the settings available for a specific package?
Please filter a list of words to include only valid, neutral, and positive terms that are safe for use in a word game. Exclude any inappropriate, offensive, or negative words, as well as names of countries, cities, and people (first and last names). Correct any spelling errors and lowercase. Return the results in a JSON array with only the filtered words. Source data: [yodh, yoga, yogi, yogistic, yogurt, yoke, yolk, yon, yonder, yore, you, young, younger, youngish, youngness, youngster, youngun, younker, your, youre, yours, yourself, youth, youthful, youthfully, youthhood, yow, yowl, ytterbium, yttrium]
how to install this : 
moondream
a tiny vision language model that kicks ass and runs anywhere

Website | Hugging Face | Demo

Benchmarks
moondream2 is a 1.86B parameter model initialized with weights from SigLIP and Phi 1.5.

Model	VQAv2	GQA	TextVQA	TallyQA (simple)	TallyQA (full)
moondream1	74.7	57.9	35.6	-	-
moondream2 (latest)	76.8	60.6	46.4	79.6	73.3
Examples
Image	Example
	What is the girl doing?
The girl is eating a hamburger.

What color is the girl's hair?
The girl's hair is white.
	What is this?
This is a computer server rack, specifically designed for holding multiple computer processors and other components. The rack has multiple shelves or tiers, each holding several processors, and it is placed on a carpeted floor. The rack is filled with various computer parts, including processors, wires, and other electronic devices.

What is behind the stand?
There is a brick wall behind the stand.
Usage
Using transformers (recommended)

pip install transformers timm einops
from transformers import AutoModelForCausalLM, AutoTokenizer
from PIL import Image

model_id = "vikhyatk/moondream2"
revision = "2024-03-13"
model = AutoModelForCausalLM.from_pretrained(
    model_id, trust_remote_code=True, revision=revision
)
tokenizer = AutoTokenizer.from_pretrained(model_id, revision=revision)

image = Image.open('<IMAGE_PATH>')
enc_image = model.encode_image(image)
print(model.answer_question(enc_image, "Describe this image.", tokenizer))
The model is updated regularly, so we recommend pinning the model version to a specific release as shown above.

To enable Flash Attention on the text model, pass in attn_implementation="flash_attention_2" when instantiating the model.

model = AutoModelForCausalLM.from_pretrained(
    model_id, trust_remote_code=True, revision=revision,
    torch_dtype=torch.float16, attn_implementation="flash_attention_2"
).to("cuda")
Batch inference is also supported.

answers = moondream.batch_answer(
    images=[Image.open('<IMAGE_PATH_1>'), Image.open('<IMAGE_PATH_2>')],
    prompts=["Describe this image.", "Are there people in this image?"],
    tokenizer=tokenizer,
)
Using this repository

Clone this repository and install dependencies.

pip install -r requirements.txt
sample.py provides a CLI interface for running the model. When the --prompt argument is not provided, the script will allow you to ask questions interactively.

python sample.py --image [IMAGE_PATH] --prompt [PROMPT]
Use gradio_demo.py script to start a Gradio interface for the model.

python gradio_demo.py
webcam_gradio_demo.py provides a Gradio interface for the model that uses your webcam as input and performs inference in real-time.

python webcam_gradio_demo.py
Limitations

The model may generate inaccurate statements, and struggle to understand intricate or nuanced instructions.
The model may not be free from societal biases. Users should be aware of this and exercise caution and critical thinking when using the model.
The model may generate offensive, inappropriate, or hurtful content if it is prompted to do so.
write mathematica code to solve directly with out reducing:
Home assignment 1 The direct stiffness method
Consider the four-spring assemblage shown in Figure below. Build the connectivity matrix for the structure and assemble the global stiffness matrix. Compute the displacements of the nodes 2 and 3, all forces in springs and the reaction forces at nodes 1 and 4. Finally, compute the internal strain energy and the potential energy of the external forces at the equilibrium state. Assume that the rigid vertical bar slides in the supports and remains horizontal. The applied force and spring’s stiffness constants are computed via personal number of the first group member according the table.
Give the solution values with 3 significant digits. Fill in the report summary below! Submit your notes containing the main steps of the solution and your Mathematica Notebook as well.

i start to solve like:
P1	P2	P3	P4	P5	P6	-	P7	P8	P9	P10
9	7	0	6	2	0	-	4	0	1	4

Using the table to determine the values:
P4=6→P=+ 42 KN
P5=2→K^((1))=30 KN/mm
P9=1→K^((2))=10 KN/mm,K^((3))=15 KN/mm
P10=2→K^((4))=60 KN/mm
	Build Connectivity matrix
	from	to
Spring 1	1	2
Spring 2	2	3
Spring 3	3	4
Spring 4	2	4

	Assemble the global stiffness matrix:
The global stiffness matrix K is assembled by summing the contributions of each spring
K_1= K^((1) ) [ ■(1&-1&0&0@-1&1&0&0@0&0&0&0@0&0&0&0)]
K_2= K^((2) ) [ ■(0&0&0&0@0&1&-1&0@0&-1&1&0@0&0&0&0)]
K_3= K^((3) ) [ ■(0&0&0&0@0&0&0&0@0&0&1&-1@0&0&-1&1)]
K_4= K^((4) ) [ ■(0&0&0&0@0&1&0&-1@0&0&0&0@0&-1&0&1)]
Summing these contributions, the global stiffness matrix K:
K=[ ■(K^((1) )&-K^((1) )&0&0@-K^((1) )&K^((1) )+K^((2) )+K^((4) )&-K^((2) )&-K^((4) )@0&-K^((2) )&K^((2) )+K^((3) )&-K^((3) )@0&-K^((4) )&-K^((3) )&K^((3) )+K^((4) ) )]
K=[ ■(30&-30&0&0@-30&100&-10&-60@0&-10&25&-15@0&-60&-15&75)]

	The force vector F:
F=[■(F_1@P@0@F_4 )]=[■(F_1@42@0@F_4 )]
	Apply Boundary Conditions and Solve for Unknowns:
Nodes 1 and 4 are fixed, so u_1=0 and u_4=0
[F]=[k][U]
The previous set of equations has 4 equations and 4 unknowns: u_2,u_3,F_1  and F_4
Since u_1=0 and u_4=0 we can reduce the system and solve for u_1 and u_3 then solve for F_1  and F_4
Or we can directly solve for all four unknowns (using mathematica) 
	Compute the Forces in the Springs:
T_i=F_i Δu_i
	Compute the Internal Strain Energy and the Potential Energy of the External Forces:
U=1/2 ΣF_i Δu_i  
Ω=-pu_2
My path winds out of time, explain please
System: The goal is to create a dataset for entity recognition for the Financial Domain. Label as many entities, concepts, and ideas as possible in the input text.
Invent new entity types that may not exist in traditional NER Tasks such as more abstract concepts and ideas.
Make sure the entity concept is not part of speech but something more meaningful. Avoid finding meaningless entities and provide an exhaustive list of all mentionned labels.
Output format (separate entities with new line):
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...
Input:
User: Investors are wondering if this chip designer is the next Nvidia. When it comes to artificial intelligence (AI), the comparison is stretched.
Assistant:
act as sentiment analysis and respond using 1 (one) emoji only of what the text/message feels: "/cmd unload zfilswear"
I want a scary font for powerpoint, I want it to look a bit scratchy like it was carved with a knife. Do any default fonts match this? If not is there an alternative website I could use to get the word art. I am just using it for one title so I may not need the font for more than a few letters.
Send only episode number from below text like 01, 02, 03.etc without any extra text.

@Crunchyroll_Hindi_India_Official_Naruto_Shippuden_S01E25_480p.mkv
Assistant: 
User: 
Task: Classify keywords as "Relevant" or "Irrelevant" to skincare, beauty, or the Medipeel brand. Response: Respond only with "Relevant" or "Irrelevant". No additional text.
Clearer Relevancy Rules:
Relevant if:
Keywords mention skincare, cosmetics, beauty products (e.g., facial masks, creams, makeup, etc.), even if no brand is specified.
Keywords reference general beauty-related terms (e.g., "интернет магазин косметики" - "online cosmetics store").
Keywords include "Medipeel" or any variations (e.g., "Медипил").
Irrelevant if:
Keywords only mention brands that are not related to Medipeel and provide no general skincare/beauty context.
Keywords are about non-skincare, non-beauty industries (e.g., tech, finance).
Special Rule for Mixed Keywords:
Even if a keyword mentions other brands, if it mostly focuses on general beauty or skincare terms, mark it Relevant.
Example: “интернет магазин косметики и парфюмерии” ("online store for cosmetics and perfumes") is Relevant because it focuses on general beauty-related searches, not a specific brand.

List of keywords:
moyo харьков, мойо харьков

URL set:
https://pn.com.ua/fm/9391/, https://gotoshop.ua/ru/kharkov/shops/moyo/, https://pn.com.ua/fm/1697/, https://www.biz24.com.ua/kharkiv/internet-mahazyny/moyo-mahazyn-tekhniky/p/290126/ru/, http://naitiko.com.ua/companies/moyo/kharkov, https://www.moyo.ua/trade_network/kharkiv/?srsltid=AfmBOopVEUYFdzKIriGbPE1Tb8DgPaYU3SNwvL7v5uc_M_mLLUTt3E1l, https://www.moyo.ua/trade_network.html?srsltid=AfmBOor4uSIZolRX-nL5Vi5vd89-orUEHxglwWnigW-D4SWr-SBEnpbi, https://www.moyo.ua/contact.html?srsltid=AfmBOopV_0Csg2GrQETuWeK8fI8ROXdwwlDKtlhO395lkvjaBBaDdk8C, https://ru.foursquare.com/v/moyo/50574a12e4b0cbb61bcd65ee, https://www.moyo.ua/news/v_kharkove_otkrylsya_56-y_magazin_moyo_.html?srsltid=AfmBOooLbyc7bFy17XJSztgg39ewIi4P2U8mXtqQOvfWNkzrsoon_HTc

Assistant:
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: so sad it breaks my heart that a cute cat is trying to break your phone'
intention: '
Assistant:
Reword "She is gaining knowledge in different sporting contexts as she starts to teach them."
User: You are an assistant that helps users and speaks Russian always. If someone asks you to generate or create or pain any picture, send his request and at the end add 'imagegen19656532313556325' You should give answer ONLY: request(what user asked you to draw) and 'imagegen19656532313556325' at the end. You support only text messages.
Assistant: Understood. I will strictly follow these instructions in this conversation.
User: How are you?
Assistant:
You are an expert book writer. Write me a 1000 word book chapter on Cultivating Resilience for Adapting to Life’s Challenges covering the following topics: 1. The concept of resilience: Understanding its importance in managing stress, 2. Building emotional resilience: Developing skills to bounce back from adversity and 3. Nurturing physical resilience: Incorporating healthy habits to enhance overall well-being. Chapter should be unique and original. Do not copy paste similar content in the internet. Rephrase and paraphrase to make it original.
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers de (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 de.
    - 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 : de (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "f74cb4697c5f4339bd386890ec2b74de",
    "updated": "2025-04-22T22:45:05.365Z",
    "title": "Lentil Lasagna",
    "subtitle": null,
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "olive oil",
          "onion, chopped",
          "carrot, sliced",
          "celery stick, chopped",
          "garlic clove, squashed",
          "x 400 g cans lentils, drained, rinsed",
          "corn flour",
          "can chopped tomato",
          "mushroom ketchup",
          "sliced oregano (or 1 tsp dried)",
          "veggie stock powder",
          "cauliflower heads, broken into florets",
          "unsweetened soya milk",
          "newly grated nutmeg",
          "dried egg-free lasagna sheets"
        ]
      }
    ],
    "instructions": [
      "Warm the olive oil in a pan. Add the carrot, celery, and onion, and cook gently for 10-15 minutes until softened.",
      "Add the garlic and cook for a couple of minutes. Then, incorporate the lentils and corn flour.",
      "Add the chopped tomatoes along with a can's worth of water, the mushroom ketchup, oregano, vegetable stock powder, and some seasoning. Allow the mixture to simmer for 15 minutes, stirring occasionally.",
      "Cook the cauliflower florets in boiling water for 10 minutes, or until tender.",
      "Drain the cauliflower and then purée it with the soy milk using a hand blender or food processor.",
      "Season the cauliflower purée well and add the nutmeg.",
      "In a baking dish, spread one-third of the lentil mixture. Then, layer one-third of the cauliflower purée on top, followed by a layer of lasagna sheets.",
      "Add another layer with one-third of the remaining lentil mixture and lasagna sheets, and top with the remaining cauliflower purée.",
      "Cover the lasagna loosely with foil and bake for 35-45 minutes. Remove the foil for the last 10 minutes to allow the top to brown."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
i have a nodemcu and also have a sim800l module , i want get power for sim800l module using nodemcu , what can i do? i see the nodemcu only has 3.3v output and the sim800l can't be power up with that i think , what can i do for that?
Write a summary of around four sentences in a CV for a concise overview of your experience and top skills. with 2, who wants to apply for payment relationship manager. My skills are filed sales in Paytm.
Python 3 module for converting raw disk images to VMDK files
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
quel sont les différents types d'AVC
As a personal trainer specialized in exercise science and nutrition, your objective is to design a comprehensive and personalized exercise regimen for an individual striving to enhance their fitness, strength, and overall health. Taking into account their current fitness level, specific health goals, and daily lifestyle habits (such as work schedule, dietary preferences, and time availability), how would you prioritize and categorize various cardio exercises? Please create a tiered list that ranks these exercises based on their effectiveness, accessibility, and suitability for the individual's unique circumstances. Additionally, explain the rationale behind the prioritization to provide clear guidance for their training journey.
Okay so I am working on an anomaly detection system that will be capable of detecting the following anomalies:

1. Fighting
2. Violence
3. Destroy 

The dataset for training this will be taken from the LAD 2000 where we will take a chunk of their complete dataset that contains 14 classes including the above mentioned 3 in total.

Refer to their paper in the attachment.

Moving onto the dataset for each class  they provide video level and frame level labelled dataset. For video level they provide the label so violence corresponds to label 2 and for frame level, they provide annotation for each frame where is 0 means a normal frame and 1 means a frame of the specified crime. 

For each class they provide abnormal videos which contains a mix of normal and abnormal frames and they also provide normal videos which contains all 0. 

I want to build a real time crime detection model. The point where I'm stuck at is how do I train the model so that from within a class it is able to learn what is normal and what is abnormal.

At this point I'm only focused on understanding the approach we should take rather then code. I would also like you to know that we are not going to be using 3D Convolutions. I was instead thinking of relying on transfer learning.
What's a good chunk size and chunk overlap? What does it means to have high size and high overlap?
summarise the elements of notes on each asset class that need to jot down: "EQ – AMD / China EV / Profit Taking 11 ideas
AMD result beat
AMD PC chip division performed better than expected
Positive signs of recovery and inventory digestion
Mgmt positive on 2H for the data center biz
Accelerated chips demand
Customers’ demand is very high.
Q3 guided 5.7bn sales slightly below consensus but upbeat outlook of Q4 cheered the market
After market up ~3%
China EV Jul Monthly Delivery Update
EV sales in July. Number is good. Demonstrated the strong sales and release of pent-up demand.
Those customers now finally made their purchase decision.
Li Auto breaks its delivery record. 2 consecutive months over 30k units
BYD +4% MoM to 262k units
Profit Taking on 11 Tactical Ideas (pls refer to chart)
Outstanding calls: Li Auto and NVDA
FI – KOOKMIN Bank (Non-TLAC) – short dated idea with decent yield
USD 1YR PP at 5.9%
Aa3/A+/A
Largest commercial bank in Korea.
11% market share in both loans and deposits
Strong branch network.
CET1 Ratio 14.5%
Yield Comparables: UBS Barclays JPM Citigroup
FX - USDJPY reaction
USDJPY off the low.
Market is still figuring out.
Current USDJPY vol looks attractive to sell
Vol is trading at 10%, still attractive compared to peers
No BOJ and FOMC meeting in Aug. Range trading possible.
Houseview end of this year revised. 4Q23 = 135
SP – Hedge/Retain US eq exposure
Long call note and put note
P-note
Showcased the indicative terms : Vanilla , 3-6 months with SPX underlying
P-note: with JPM WFC ASML DIS LULU TSM , 6-12 months"
Should I worry about cache friendly code in Python?
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":["ufo explorer"],"description":["ufo explorer is a 2d flying game of skill and finesse, extremely easy to pick up yet frustratingly hard to master. with only touching the left and/or right side of the screen, you control three directions of flight. gravity takes care of going down. your mission is to land safely as you pilot your flying saucer through challenging extraterrestrial caverns with alien machines determined to make your journey end in failure. use your skill to complete each mission with a combination of delicate precision, speed, timing and a tea spoon of luck for good measure. so pilot,… do you think you have the skill for it?… don’t be so sure."],"genre":["умения"]}```
commonj.work.Work
Freedom planet all characters react to Aburame clan (naruto world)
Write work experience with detailed figures of performance in a CV for Grade R practitioner  who used to work in Nhlengeleti Primary school  07/2023 - 12/2024. In Nhlengeleti Primary school  agency, grade R practitioner