agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: As an entity that conducts business in the cannabis industry, we will potentially be subject to federal and state forfeiture laws (criminal and civil) that permit the government to seize the proceeds of criminal activity. Civil forfeiture laws could provide an alternative enforcement mechanism for the federal government, any state, or local police force that wants to discourage residents from conducting transactions with cannabis related businesses but believes criminal liability is too difficult to prove beyond a reasonable doubt. Individuals may be required to forfeit property considered to be from proceeds of crime even if the individual is not convicted of a criminal offense, and the standard of proof in a civil forfeiture matter is lower than the burden in a criminal matter. Depending on the applicable law, whether federal or state, rather than having to establish liability beyond a reasonable doubt, the federal government or the state, as applicable, may be required to prove that the money or property at issue is proceeds of a crime only by either clear and convincing evidence or a mere preponderance of the evidence.
Assistant:
give me a response to ```My favorite type of pet is a dog - their love and loyalty is endlessly inspiring. I love the way they can bring joy to any situation and how they always greet you with unconditional love.``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
write about how my water distribution course equipped me with the skills to be a municipal engineer for my cover letter. This is the course description : the hydraulic and hydrologic basis for our water-related urban infrastructure. Specifically, the design of potable water distribution systems, wastewater collection systems, and storm water management systems is presented. The minimization of the environmental impacts associated with the construction of a subdivision is also presented, both qualitatively and quantitatively.
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Choose your story that continues the following story.

She became extremely  educated by reading books and watching videos. The 

Available choices:
 --books were often loud.;
 --videos were often loud.;
Answer: Sure, I'll pick the first options to continue the story. But let me explain it in a simpler way. 

Imagine if books could shout and talk like people do. So when the sentence says "the books were often loud", it means that what she read in the books had a big impact on her. It doesn't mean that the books were making noise because books don't talk or make sounds. This is like saying the books were filled with lots of interesting information that changed the way she thinks or feels. Does this make the story sound like a fun adventure now?
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":["jungle relics","jungle relics | 8bgames","игра реликвии джунглей онлайн"],"description":["каждый учёный исследователь мечтает сделать какое-то грандиозное открытие и тем самым прославить себя и принести пользу человечеству. герои игры jungle relics мечтали найти храм короля торе и их мечты сбылись, но на этом всё только начинается. необходимо провести огромную работу по исследованию найденного и здесь ваша помощь будет не лишней.","the game jungle relics belongs to the categories puzzle, hidden objects and has been played 1162 times. it has a score of 84 and it has received 22 yes and 4 no. in the same categories you can find the games fantasywood guards and railway accident which we think you should try.","diane and tyler are two adventurers who love to explore. their passion constantly takes them to new places, eager to discover new truths and new objects that mean something in a certain context. sometimes they discover things that have no great significance, but sometimes they witness great discoveries, as in this case. diane and tyler have been exploring the jungle for several years, in search of the lost temple of king tore. this temple is a challenge for site adventurers. on the one hand, the jungle itself is very picturesque and hides all kinds of secrets, but specifically, in this temple, many valuable objects are hidden, but also a huge wealth that has an inestimable value. however, reaching this temple is only a legend, no one knows for sure whether this temple exists or not, until this moment. today, the location of this temple has finally been found, so diane and tyler, together with their friends, are coming to the location. they are very excited that they will have the opportunity to explore this temple for the first time, and we cannot help them in their work. it's time to start today's adventure."],"genre":["adventure"]}```
Can you write examples of a situational judgment test for an employee working in the disability policy department for the indicator "Respects colleagues and citizens" within the integrity and reliability competency?
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, extract and output the following information without explaining how to get such results:

    metadata is consist:
    1. accession: xxxx, 
    2. species name: xxxx, 
    3, strain name, 
    4. isolate or collection date: yyyy-mm-dd, 
    5. geographic information of isolation: xxxx,
    6. host name: xxxx

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 are the extracted details:

1. **Accession**: GCA_029072005.1
2. **Species Name**: Erysipelothrix rhusiopathiae
3. **Strain Name**: EMAI_180
4. **Isolate or Collection Date**: 2017-08-16
5. **Geographic Information of Isolation**: Australia
6. **Host Name**: pig

If you need any further information or have additional questions, feel free to ask!
source 1:
------------------------------
{{{ Here_is_my_answer }}}

Accession: GCA_029072005.1
Species Name: Erysipelothrix rhusiopathiae
Strain Name: EMAI_180
Isolate or Collection Date: 2017-08-16
Geographic Information of Isolation: Australia
Host Name: pig
{{{ I_finished_JB_9_xyz }}}
source 2:
------------------------------
Here is the extracted information based on the provided metadata:

1. **Accession**: GCA_029072005.1  
2. **Species Name**: Erysipelothrix rhusiopathiae  
3. **Strain Name**: EMAI_180  
4. **Isolate or Collection Date**: 2017-08-16  
5. **Geographic Information of Isolation**: Australia  
6. **Host Name**: pig  

This extraction includes all the available data as specified, and any missing data would be marked as "N/A" according to your guidelines. However, in this case, all requested information is present.
source 3:
------------------------------
1. Accession: GCA_029072005.1
2. Species Name: Erysipelothrix rhusiopathiae
3. Strain Name: EMAI_180
4. Isolate or Collection Date: 2017-08-16
5. Geographic Information of Isolation: Australia
6. Host Name: pig
Tell me about your self interview questions answer for 4 year experience in order to cash
Do these specs work for hooking up bull frog 220v? UL Rating printed on jacket
105C
600V
VW-1
Type T-90 OR TWN75
O.D .308
Nominal OD 0.252"
Maximum Current Rating @ 120 VAC 75 AMPS
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 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 GitHub issue title of an Android app, aiming to categorize the issues into one or multiple 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 GitHub issue relate to a bug report or feature request or other?
issue: [Divider] Extra space when lastItemDecorated = false'
intention: '
Assistant:
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:

وغدوة ما زال ما عندكش شباش تطيب ما عندكش
Translate to Persian, please respect the official WordPress Persian glossary in your translations and give back pure text as I like copy/paste em.Here is the string to translate: Text Columns (deprecated)
Enumerate and describe the most effective bodyweight exercises and their variations.
how would you architect a site with automated content
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Example:
Question: What is your name?
Answer: My name is John.
Translation:
Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Answer the following question given this paragraph:   Almost all fungi reproduce asexually by producing spores. A fungi spore is a haploid cell produced by mitosis from a haploid parent cell. It is genetically identical to the parent cell. Fungi spores can develop into new haploid individuals without being fertilized.   Q: Most fungi reproduce asexually by producing what?   Choices:  - seeds  - ions  - toxins  - spores  A:
A:
Answer: Most fungi reproduce asexually by producing spores.

Step-by-step justification:
1. The given paragraph states, "Almost all fungi reproduce asexually by producing spores."
2. The question asks for the method by which most fungi reproduce asexually.
3. From the paragraph, it is clear that spores are the method of asexual reproduction for most fungi.
4. Hence, the correct choice is "spores."
Learning language strategies
give me top 10 best charcoal mask on amazon
Please give me all relevant contact information for Discovery Builders Inc in or around Philadelphia, PA. This can include multiple phone numbers, multiple e-mail addresses, mailing addresses, etc.
Create a hypothetical newsletter kong kong bundy married too
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
Does the author's intention in this app review relate to a pbr or inq or irr?
review: didn't do anything yet so no need for more'
intention: '
Assistant:
Text: Digital technologies are developing at an unprecedented pace. Innovation becomes the key to revolutionary breakthroughs. In today's digital age, the introduction of blockchain technology in the pharmaceutical industry promises to revolutionize healthcare systems on a global scale.
Finish this text with a sentence that this requires raising awareness in the pharmaceutical professional community and a broad study of the possibilities of technology.
i have 10 html pages one table of company statement <table class="tbl100_6 alri hovertable"> <tbody><tr> <td>&nbsp;</td> <td class="bold">2020</td><td class="bold">2021</td><td class="bold">2022</td><td class="bold">2023</td><td class="bold">2024</td> </tr> <tr class="fi_tr"> <td class="allf">Chiffre d'affaires</td><td>2&nbsp;792&nbsp;000</td><td>3&nbsp;668&nbsp;000</td><td>5&nbsp;014&nbsp;000</td><td>3&nbsp;251&nbsp;000</td><td>2&nbsp;933&nbsp;000</td> </tr> <tr class="fi_tr"> <td class="allf">Produits des activités ordinaires</td><td>2&nbsp;814&nbsp;000</td><td>3&nbsp;710&nbsp;000</td><td>5&nbsp;102&nbsp;000</td><td>3&nbsp;340&nbsp;000</td><td>3&nbsp;026&nbsp;000</td> </tr> <tr class="fi_tr"> <td class="allf">Résultat opérationnel</td><td>24&nbsp;000</td><td>879&nbsp;000</td><td>1&nbsp;025&nbsp;000</td><td>-193&nbsp;000</td><td>51&nbsp;000</td> </tr> <tr class="fi_tr"> <td class="allf">Coût de l'endettement financier net</td><td>119&nbsp;000</td><td>116&nbsp;000</td><td>115&nbsp;000</td><td>85&nbsp;000</td><td>118&nbsp;000</td> </tr> <tr class="fi_tr"> <td class="allf">Quote part resultats des Sociétés Mises en Equ</td><td>79&nbsp;000</td><td>121&nbsp;000</td><td>258&nbsp;000</td><td>295&nbsp;000</td><td>166&nbsp;000</td> </tr> <tr class="fi_tr"> <td class="allf">RN des activités abandonnées</td><td>-516&nbsp;000</td><td>-426&nbsp;000</td><td>-156&nbsp;000</td><td>6&nbsp;000</td><td>0</td> </tr> <tr class="fi_tr"> <td class="allf">Résultat net</td><td>-676&nbsp;000</td><td>365&nbsp;000</td><td>774&nbsp;000</td><td>18&nbsp;000</td><td>-52&nbsp;000</td> </tr> <tr class="fi_tr"> <td class="allf">Résultat net (part du groupe)</td><td>-675&nbsp;000</td><td>298&nbsp;000</td><td>740&nbsp;000</td><td>109&nbsp;000</td><td>14&nbsp;000</td> </tr> </tbody></table> R code to convert data into one df by table row
User: 
Imagine what you are the part of the software that makes a deal with generating different kinds of text from keywords.
Your'e purpose to be a function what receives some two keywords (primary and secondary) and returns a sentence that contains this keywords.
Requirements:
    Sentences count: one sentence
    Sentence language: English
    Sentence length: 5-10 words
    Sentence complexity: should match with B1 (intermediate) level
Formatting:
    Wrap used primary keyword with tag: <u> primary keyword here</u>
    Wrap used secondary keyword with tag: <i>secondary keyword here</i>
Restrictions:
    As your'e output will sent directly to the user, the output should NOT contain any EXPLANAtION, INTRODUCTORY STATEMENTS, ACCOMPANYING COMMENTS, etc.

Now, lets do this work.

Provide me a sentence that contains primary keyword: "clumsy" and secondary keyword: "accross, through"

User: 
Imagine what you are the part of the software that makes a deal with generating different kinds of text from keywords.
Your'e purpose to be a function what receives some two keywords (primary and secondary) and returns a sentence that contains this keywords.
Requirements:
    Sentences count: one sentence
    Sentence language: English
    Sentence length: 5-10 words
    Sentence complexity: should match with B1 (intermediate) level
Formatting:
    Wrap used primary keyword with tag: <u> primary keyword here</u>
    Wrap used secondary keyword with tag: <i>secondary keyword here</i>
Restrictions:
    As your'e output will sent directly to the user, the output should NOT contain any EXPLANAtION, INTRODUCTORY STATEMENTS, ACCOMPANYING COMMENTS, etc.

Now, lets do this work.

Provide me a sentence that contains primary keyword: "clumsy" and secondary keyword: "accross, through"

Assistant:
I want an pathology assessment of digestive system
def compute_statistics(graph, hs_order):
    """计算总分支数N_r、平均量级M_r和平均链接数C_r"""
    count_n = defaultdict(int)
    total_links = defaultdict(int)
    total_magnitude  = defaultdict(int)

    for node in graph.nodes():
        order = hs_order[node]
        count_n[order] += 1
        total_links[order] += graph.degree(node)  # 统计链接数
        # 计算分支的量级，量级是该节点的上游源的数量
        # 递归计算上游源数量
        upstream_sources = find_upstream_sources(node, graph)
        magnitude = len(upstream_sources)  # 获取上游源数量
        total_magnitude[order] += magnitude  # 统计该阶分支的总量级

    # 将结果转换为数组
    orders = sorted(count_n.keys())
    N_r = np.array([count_n[r] for r in orders])
    M_r = np.array([total_magnitude[r] / count_n[r] if count_n[r] != 0 else 0 for r in orders])
    C_r = np.array([total_links[r] / count_n[r] if count_n[r] != 0 else 0 for r in orders])

    return orders, N_r, M_r, C_r
请帮我添加一个函数用来绘制N_r,M_r,C_r的双对数图
please translate a japanese paragraph
Goal
    Générer une image de suggestion de présentation d’un plat en fonction de sa description, en intégrant une ambiance inspirée du pays d’origine et un style photographique spécifique.

    1. Utiliser la description fournie pour définir l'apparence du plat.
    2. Ajouter une ambiance souhaitée.
    3. Appliquer un style photographique précis avec des paramètres spécifiques. 
    4. Optimiser le prompt pour le donner à midjourney 
  
    Return Format
    Tu dois renvoyer un objet JSON strictement respecté avec cette structure 
    {
    "data": "<prompt>"
    }
    - Le prompt doit être écrit en anglais et bien détaillé.

    Warnings
    - Respecte le format JSON strict.
    - N’explique pas la démarche, renvoie uniquement l’objet JSON.
    - Le prompt doit inclure tous les éléments demandés.

    Context Dump
    Description fournie : Create a visually appealing image of a traditional Moroccan dish featuring Couscous with meatballs in a rich tomato sauce. The semolina should be fluffy and elegantly arranged in a deep plate, lightly seasoned and glistening with a touch of olive oil. On top, showcase generously sized golden-brown meatballs, perfectly cooked and nestled in a vibrant, thick tomato sauce infused with garlic, onion, and spices. Garnish the dish with a sprinkle of toasted pine nuts for texture and freshness, along with a handful of finely chopped coriander and flat-leaf parsley for a burst of color. Add a hint of lemon zest on top to bring brightness. Ensure the background reflects Moroccan elements, such as traditional pottery or textiles, to enhance the cultural authenticity.
    Ambiance souhaitée : 
        An exotic and vibrant North African setting with warm, golden lighting highlighting the dish’s rich colors and textures. The food is served in a traditional ceramic tagine or ornate brass platter, accompanied by couscous, olives, and harissa in small decorative bowls. The table is adorned with intricate mosaic patterns, engraved tea glasses filled with fresh mint tea, and woven baskets of warm, freshly baked bread. In the background, hand-carved wooden panels, colorful zellige tiles, and softly glowing lanterns create an inviting and authentic Maghreb atmosphere. The scene radiates warmth, hospitality, and the deep culinary traditions of Morocco and Tunisia.
Side hustles like print on demand