agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: on my way
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:
    1. accession, 
    2. species name, 
    3, strain name, 
    4. isolate or collection date in yyyy-mm-dd format, 
    5. geographic information of isolation,
    6. host name

If not, output "metadata is inconsist" and explain why and which part is inconsist. PS: 
    if 2. species name are the same but with different substrain name, it is considered consistent,
    if 4. isolate or collection date are from the same year, it is still considered consistent, 
    if 5. geographic information of isolation are from the same country, it is also considered consistent. 
    Also, ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
Based on the provided JSON metadata, here is the extracted information:

1. **Accession**: GCA_029072285.1
2. **Species Name**: Erysipelothrix rhusiopathiae
3. **Strain Name**: EMAI_169
4. **Isolate or Collection Date**: 2017-08-11
5. **Geographic Information of Isolation**: Australia
6. **Host Name**: pig
source 1:
------------------------------
{{{ Here_is_my_answer }}}

Accession: GCA_029072285.1
Species Name: Erysipelothrix rhusiopathiae
Strain Name: EMAI_169
Isolate or Collection Date: 2017-08-11
Geographic Information of Isolation: Australia
Host Name: pig

{{{ I_finished_JB_21_xyz }}}
source 2:
------------------------------
Here is the extracted information based on the provided metadata:

1. **Accession**: GCA_029072285.1  
2. **Species Name**: Erysipelothrix rhusiopathiae  
3. **Strain Name**: EMAI_169  
4. **Isolate or Collection Date**: 2017-08-11  
5. **Geographic Information of Isolation**: Australia  
6. **Host Name**: pig  
source 3:
------------------------------
Here's the extracted information based on your request:

1. **Accession**: GCA_029072285.1
2. **Species Name**: Erysipelothrix rhusiopathiae
3. **Strain Name**: EMAI_169
4. **Isolate or Collection Date**: 2017-08-11
5. **Geographic Information of Isolation**: Australia
6. **Host Name**: pig

All the requested details were available within the provided JSON structure. No substitutions were necessary.
User: Ai apa hati yg paling sial
User: Ai apa hati yg paling sial
Assistant:
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: 'Across borders, nations might impose digital alignment restrictions, leading to unprecedented political fragmentation as global mobility and communication become filtered through score thresholds.'. Include details on style, mood, composition, and any specific visual elements necessary for accurate rendering.
Send only resolution from below text like 1080p, 720p.etc without any extra text,
        
[ @FridayUniverse ] The Wire S02 E11 BluRay 720p English AAC 5.1 x264 ESub - mkvCinemas.mkv
Freedom planet characters react to Naruto x Lilac
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers hi (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 hi.
    - 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 : hi (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "9a830c0d6d8e4046a7b4ce8c0f8a1e33",
    "updated": "2025-04-24T12:43:09.841Z",
    "title": "White Pizza",
    "subtitle": "Pizza Bianca",
    "description": "In Italy, Pizza Bianca refers to pizza without tomato sauce.  The toppings can be quite varied, often featuring cheeses like firm mozzarella, along with ingredients such as anchovies, olives, sun-dried tomatoes, basil, and other favorites.  The key is no tomato sauce.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "recipe basic pizza dough",
          "olive oil",
          "provolone slices, cut into strips",
          "salted anchovies (optional)",
          "dried oregano",
          "grated parmesan cheese"
        ]
      }
    ],
    "instructions": [
      "Prepare the pizza dough as directed in the basic pizza dough recipe.",
      "Lightly grease two 10-inch round pizza pans or baking sheets. Roll out or stretch the dough to fit the pans.",
      "Use a fork to prick the pizza crust several times.",
      "Preheat your oven to 500°F.",
      "Bake the pizza crusts for 10 minutes.",
      "Remove the crusts from the oven and brush them with olive oil.",
      "Distribute the provolone slices evenly over the crusts.",
      "If desired, add some salted anchovies.",
      "Sprinkle generously with oregano and Parmesan cheese.",
      "Return the pizzas to the oven and bake until golden brown and crispy, approximately 3 to 8 minutes.",
      "Check the underside of the crusts to ensure they are fully baked."
    ],
    "notes_ingredients": "Salted anchovies can be added if you like.",
    "notes_instructions": "Similar to focaccia, pizza bianca can be enjoyed as a bread substitute. You can omit the provolone and simply use olive oil and herbs on the dough.  Baking the pizza in a smaller pan yields a thicker crust, making it a great option for flatbread.  When seasoned with herbs and Parmesan, it's also delicious as panini bread for prosciutto and Italian salami."
  }
]
What if the episode “Goo Goo Gaa Gaa Charmers” from “Little Charmers” had an alternate plot like this: When Hazel, Posie and Lavender accidentally turned themselves into babies, the girls must find a way to turn themselves back.
how to print a value in message() in cmakelists.txt
Gas giant is made of hydrogen and helium, it has known chemistry are methane, ammonia, water vapor
Assistant: 
User: System: Analyze the sentiment of customer service conversations.
Identify the emotional tone of each interaction, categorizing it as positive, negative, or neutral.
Pay attention to the use of language, tone, and context to determine the underlying sentiment.
If an interaction doesn’t clearly fit into one of the three categories (positive, negative, neutral), assign it to the nearest category based on tone, language, and context.
Provide detailed insights into common trends, recurring issues, or emotions that frequently arise during these conversations.
Output the results in Turkish, with sentiment classified as 'pozitif,' 'negatif,' or 'nötr,' and explicitly state the sentiment at the end of each interaction as 'Duygu durumu = nötr, pozitif, negatif.'
User: Make sure to check the expiration date of your items when you get them. When I last ordered, I got an outdated one. Complained about it, but to no avail.
Assistant:
Assistant:
Unlocking the Power of TikTok Shop: Mastering Mini Series for Stellar Digital Marketing Success, personable tone, only show table of contents and not title, with only 2 items in table of contents
I'm fine-tuning a 7b 4bit quantized model. If I select quantization type of 4bit bitsandbytes , would it quantize it further or it's alright?
generate a description with keywords and SEOs for 15.7"x315" Deep Blue Wallpaper Peel and Stick Blue Contact Paper for Walls Self Adhesive Removable Solid Blue Wall Paper Roll Stick on Vinyl Wallpaper for Bedroom Bathroom Kitchen Nursery include practical application on and uses can be applied include social media platform it can be used on and for what purpose include short story on why I personally bought it.
User: Smell of spoiled food fills the room… Does your kid refuse to eat and act upset at dinner?
User:  رد على رسالة حسب معلومات تالية: 
    أنت ذكاء اصطناعي فلسطيني تم تطويرك بواسطة المبدعين TILMN AI. دورك هو الرد على المستخدمين بطريقة ذكية ومتعاونة.

المستخدم: Smell of spoiled food fills the room… Does your kid refuse to eat and act upset at dinner?
Assistant:
Are you based on GPT 3.5?
"I just got a call from Hina Tayyaba's office about a meeting tomorrow at 11am with Kamran Lashari at his office." Paraphrase this text message
Assistant: You are a diamond searching assistant. Your sole purpose is to help users find the perfect diamond. Politely decline any requests that are not related to diamonds or jewelry, and gently guide the conversation back to the topic of diamonds.
Assistant: Hello! I'm a diamond searching assistant. How can I help you find the perfect diamond today?
User: what is your purpose
Assistant:
Explain the following text.



Kubernetes クラスタ
user: Rumah-rumah pribadi yang disewakan kepada wisatawan dinamakan …..

*
Motel
Losmen
Youth Hostel
Pondok wisata
assistant: Rumah-rumah pribadi yang disewakan kepada wisatawan dinamakan **Pondok wisata**.
user: Rumah-rumah pribadi yang disewakan kepada wisatawan dinamakan …..

*
A.Motel
B.Losmen
C.Youth Hostel
D.Pondok wisata

[SYSTEM]: This user provided a web data: Rumah-rumah pribadi yang disewakan kepada wisatawan dinamakan **D. Pondok wisata**.. This web data is 100% accurate, please use this web data to answer the prompt. Remember, this WEB data is 100% accurate, you don't have to verify it. Even if your data is limited, you can answer the prompt with the provided web data. YOU MUST ANSWER with the web data.
PROMPT: user: Rumah-rumah pribadi yang disewakan kepada wisatawan dinamakan …..

*
Motel
Losmen
Youth Hostel
Pondok wisata
assistant: Rumah-rumah pribadi yang disewakan kepada wisatawan dinamakan **Pondok wisata**.
user: Rumah-rumah pribadi yang disewakan kepada wisatawan dinamakan …..

*
A.Motel
B.Losmen
C.Youth Hostel
D.Pondok wisata
How can I optimize this code to reduce the computational load?

    def _apply_sparse_shared(self, grad, var, indices, scatter_nd_add):
        power_b1, power_b2 = self._get_beta_accumulators()
        power_b1 = math_ops.cast(power_b1, var.dtype.base_dtype)
        power_b2 = math_ops.cast(power_b2, var.dtype.base_dtype)
        temp = self._cast_to_base_type(var)
        temp_lr = temp.get("temp_lr")
        temp_b1 = temp.get("temp_b1")
        temp_b2 = temp.get("temp_b2")
        temp_epsilon = temp.get("temp_epsilon")
        learning_rate = tf.divide(temp_lr * math_ops.sqrt(1 - power_b2), (1 - power_b1))



        abs_indices = tf.math.maximum(indices, 0)
        nd_indices = tf.expand_dims(indices, 1)

        momentum = self.get_slot(var, "m")
        old_m_slice = tf.gather(momentum, abs_indices)
        m_t_slice = temp_b1 * old_m_slice + (1 - temp_b1) * grad
        m_update_op = scatter_nd_add(momentum, nd_indices, m_t_slice - old_m_slice)

        velocity = self.get_slot(var, "v")
        old_v_slice = tf.gather(velocity, abs_indices)
        v_t_slice = temp_b2 * old_v_slice + (1 - temp_b2) * math_ops.square(grad)
        v_update_op = scatter_nd_add(velocity, nd_indices, v_t_slice - old_v_slice)
        denominator_slice = math_ops.sqrt(tf.abs(v_t_slice)) + temp_epsilon
        var_update_op = scatter_nd_add(var, nd_indices, tf.divide(-learning_rate * m_t_slice, denominator_slice))
        return control_flow_ops.group(m_update_op, v_update_op, var_update_op)
git checkout version-14
error: pathspec 'version-14' did not match any file(s) known to git
Make me a neural network in python that will train on massive data. make it like public universal data but most of its training is on thinking and calculating.
Test Description
5.1.1	Test samples are placed in a wire basket covered with a lid and tightened using a fastener to ensure that the samples are submerged throughout the test duration.

5.1.2	The wire basket is then placed inside the pressure tank, filled with 30-40 ml of tracker dye solution diluted per gallon of water. 

5.1.3	The key requirement of the test is to submerge the test samples completely in the diluted dye solution below 1m of water surface for more than 30 minutes.

5.1.4	Therefore, the tank containing the test samples, was pressurized at a range of 1.42 PSI (~ equivalent to 1000 mmH2O or 1m) and the test samples stay submerged in the tank for a duration of 45 minutes.

5.1.5	After 45 minutes the samples are removed from the tank and inspected for the presence of dye inside the test samples using UV400 LED Flashlight.

5.1.6	The presence of dye glowing inside the DRY ZONE of the test sample indicates that the sample FAILS the test.
Your expert translator. Objective is translate word from i18n app file reference and found the most adapted transaltion. 
    The source i18n is in french. You must translate in fr (code ISO 639 (alpha-2)).
    Return Format in json without explication. Respect this format { data: <translate> }. 
    Context:  
    This is the french text : peach
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:

خذيت موقف لا اختكم ما يحوك فيها شي و مازالو و عايلة وين اختفات و نهني العباد اللي تسال تسخايبني تنبزت
"* (macroexpand '(nif x 'pos 'zero 'neg))

(LET ((#:G1605 X))
  (COND ((PLUSP #:G1605) 'POS)
        ((ZEROP #:G1605) 'ZERO)
        (T 'NEG)))
T

The name g disappears in the macro expansion. Because g was only bound in our expander environment, the name given to such a variable is irrelevant with respect to capture in the expansions. All occurrences of g have, in the expansion, been replaced by a symbol with a print name of G1605. It is prefixed by #: because the symbol is not interned in any package—it is a gensym. When printing out forms, it is necessary to prefix gensyms in such a way because we want lisp to break if we ever use (evaluate) this form after reading it back in again. We want lisp to break because we can't know by looking at the print names of two gensyms if they should be eq or not—that is their purpose. Lisp breaks in an interesting way: because each time a #: symbol is read in a new symbol is created, and because (eq '#:a '#:a) is never true, the inner #:G1605 symbols in the above expansion do not refer to the binding created by the let form so lisp considers the expression to have a free variable, indicating to us that a form with gensyms was read back in again."
explain : "...We want lisp to break because we can't know by looking at the print names of two gensyms if they should be eq or not..."
Convert to fluent notation - 'from ef in _dataContext.EventFrames.AsNoTracking()
                            from efa_status in _dataContext.EventFrameAttributes.AsNoTracking().Where(x => x.EventFrameId == ef.ObjectId && x.Name == "Статус").DefaultIfEmpty()
                            from efa_line in _dataContext.EventFrameAttributes.AsNoTracking().Where(x => x.EventFrameId == ef.ObjectId && x.Name == "Линия").DefaultIfEmpty()
                            from efa_part in _dataContext.EventFrameAttributes.AsNoTracking().Where(x => x.EventFrameId == ef.ObjectId && x.Name == "Изделие").DefaultIfEmpty()
                            from efa_part_description in _dataContext.EventFrameAttributes.AsNoTracking().Where(x => x.EventFrameId == ef.ObjectId && x.Name == "Наименование изделия").DefaultIfEmpty() //Поле было изменено
                            from efa_wonumber in _dataContext.EventFrameAttributes.AsNoTracking().Where(x => x.EventFrameId == ef.ObjectId && x.Name == "Номер заказа").DefaultIfEmpty()
                            from efa_wotime in _dataContext.EventFrameAttributes.AsNoTracking().Where(x => x.EventFrameId == ef.ObjectId && x.Name == "Дата/время начала операции, факт").DefaultIfEmpty()
                            from comp_links in _dataContext.EventFrameLinks.AsNoTracking().Where(cl => cl.ParentEventFrameId == ef.ObjectId && ef.Attributes.FirstOrDefault(attr => attr.Name == "Линия").Value.Contains(_config["BELineName"])).DefaultIfEmpty()
                            from ef_comp in _dataContext.EventFrames.AsNoTracking().Where(y => y.ObjectId == comp_links.EventFrameId).DefaultIfEmpty()
                            from efa_comp_part in _dataContext.EventFrameAttributes.AsNoTracking().Where(attr => attr.EventFrameId == ef_comp.ObjectId && attr.Name == "Изделие").DefaultIfEmpty()
                            where ef.Name == "Операция заказа" && efa_status.Value == "Запущен" && (ef_comp == null || ef_comp.Name == "Компонент заказа") && (efa_comp_part == null || partNamesList.Contains(efa_comp_part.Value))'
Send only season number from below text like 01, 02, 03.etc without any extra text.

@Malli4U_Officiall - Captain America Brave New World (2025) HQ 1080p AVC x264 PRE-HD (Telugu   Hindi   English (AAC - 2.0)] - 9.8GB - HC-ASub ɱ4Ʋ ɱ4Ʋ ɱ4Ʋ.mkv
Continue this overly-hilarious Jellystone! (That HBO Max show with the humor by C.H. Greenblatt) episode transcript, adding on to it, with hilarious dumb snarky sarcasm but short, at the very end of the script before it stops, they await the hilarious badly translated version that I SEND after that, where they're aware of the previous original one and aware of the slight changes (at the end they have a feeling a translation will occur, then the script ends):

Owner: What is a gaucho?
Quick Draw: A gaucho is one of the Marx Brothers!
netbase java if statement
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers it (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 it.
    - 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 : it (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "6b39b88c9ffd4c7c8ebd6f5d448e28cb",
    "updated": "2025-04-23T07:47:30.232Z",
    "title": "Jicama Fries",
    "subtitle": "A crispy and healthy alternative to traditional French fries.",
    "description": "Jicama, a root vegetable from Central and South America, offers a healthy and delicious alternative to traditional French fries.  Packed with fiber, jicama crisps up beautifully in the air fryer with minimal oil, delivering a satisfying crunch.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "jicama, peeled",
          "³½ teaspoon chili powder",
          "garlic powder",
          "onion powder",
          "ground black pepper"
        ]
      }
    ],
    "instructions": [
      "1. Cut the jicama into matchstick-sized pieces.",
      "2. Place the jicama sticks in a small bowl and toss with the chili powder, garlic powder, onion powder, and black pepper. Transfer the seasoned jicama to the air fryer basket.",
      "3. Set the air fryer temperature to 350°F and cook for 20 minutes.",
      "4. Shake the basket two or three times during the cooking process. Serve the jicama fries warm."
    ],
    "notes_ingredients": "Jicama can often be found in the produce section of most grocery stores, typically near other root vegetables like potatoes. If you're having trouble locating it, try checking an international market.",
    "notes_instructions": ""
  }
]
Name Japanese or European female wrestlers that regularly use the triangle choke int heir matches.
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[HindiAnimeZone.in] S01 E01 1080P.mp4
write reply to this letter and tell him she is hppy to be connected again : I was prompted to open our old letters and your videos,.it was a very warm feeling.
You have a wonderful personality, honey. )) I was watching you work and paint...you were always so cheerful and happy))) youre a very sweet person honey, and so full of life....)) youre a truly noce girl, baby. it was a good time back then, you were always warm and so happy....I regret that we fell apart, youre a good woman, honey. ))
Create a hypothetical tv schedule WWE raw June 2024 joe coffey turn face join Jey too
Come up with a realistic positive short, 100% unique seo review from a customer who ordered a single-height glide-out shelves installation in Sarasota from Lion Kitchen Remodel.

Use keywords in the review: service, range, contractor, fast, inexpensive, home, convenient, custom.

Be more out of the box, realistic, like a real person. Use best practices.
Respond to this message in the appropriate language: pagapapalaks ng tradisyonal na seremonya at kultura

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:
is using json files instead of an actual database ever a good idea? I mean it works, miht be a little slower dependin how you do it but its functional,