agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: [TS] Support long data URIs'
intention: '
Assistant:
Translate this to English: Kei roto a Xavier I te 'pod'. Ko Xavier Kei I te 'pod'.
tasks_topics = db.Table(‘tasks_topics’,
db.Column(‘task_id’, db.Integer, db.ForeignKey(‘tasks.id’)),
db.Column(‘topics_id’, db.Integer, db.ForeignKey(‘topics.id’))
)



class Tasks(db.Model):
tablename = ‘tasks’
searchable = [‘task’, ‘id’] # these fields will be indexed by whoosh

id = db.Column(db.Integer, primary_key=True, autoincrement=True)
url = db.Column(db.String(120), comment=“ЧПУ задачи в адресе (транслитом)”)
task = db.Column(db.Text, comment=‘Условие задачи’)
answer = db.Column(db.Text, comment=‘Ответ’)
status = db.Column(db.Boolean, default=0, comment=‘Статус: опубликована/неактивна (по умолчанию нет)’)
created_t = db.Column(db.DateTime, comment=‘Дата и время создания’)
level = db.Column(db.SmallInteger, default=1, comment=‘Уровень сложности: 1,2 … (по умолчанию 1 уровень)’)

# связи
topics = db.relationship(‘Topics’,
secondary=tasks_topics,
back_populates=“tasks”)



class Topics(db.Model):
tablename = ‘topics’
searchable = [‘name’]

id = db.Column(db.Integer, primary_key=True, autoincrement=True)
name = db.Column(db.String(140), comment=“Уникальное название темы(подтемы)”)
parent = db.Column(db.Integer, default=0, comment=“ID родительской темы(если есть)”)

# связи
tasks = db.relationship(‘Tasks’,
secondary=tasks_topics,
back_populates=“topics”)

def return_parent_as_class(self):
cte = Topics.query.filter(Topics.id == self.id).cte(name=“parents”, recursive=True)
# Определяем рекурсивную часть CTE
cte = cte.union_all(Topics.query.join(cte, cte.c.parent == Topics.id))
# Выполняем запрос, используя рекурсивную CTE
parent_topics = Topics.query.from_statement(cte.select().order_by(cte.c.parent)).all()
return parent_topics


Здесь таблица Tasks имеет связь m2m с таблицей Topics. Я хотел бы сделать полностекстовый поиск
я хочу сделать полнотекстовый поиск Tasks по столбцу task. Как это можно сделать с помощью msearch?
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:

إيه صحيتي يعجبكشي ملا حكاية هاذي
Assistant: 
User: System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
Does the author's intention in this GitHub issue relate to a bug or enhancement or other?
issue: Marking as read from notification marks all threads as read'
intention: '
Assistant:
Assistant:
You are a database expert and SQL optimizer. You will be given a SQL query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence. Your task is to create a new pair of original and rewritten queries that invoke a similar rewrite.

[ORIGINAL QUERY]```select a.ca_state state,count(*) cnt from customer_address a,customer c,store_sales s,date_dim d,item i where a.ca_address_sk = c.c_current_addr_sk and c.c_customer_sk = s.ss_customer_sk and s.ss_sold_date_sk = d.d_date_sk and s.ss_item_sk = i.i_item_sk and d.d_month_seq = (select distinct (d_month_seq) from date_dim where d_year = 2002 and d_moy = 3 ) and i.i_current_price > 1.2 * (select avg(j.i_current_price) from item j where j.i_category = i.i_category) group by a.ca_state having count(*) >= 10 order by cnt,a.ca_state limit 100;```

[REWRITTEN QUERY]```WITH avg_price AS ( SELECT i_category, AVG(i_current_price) avg_price FROM item GROUP BY i_category ), month_seq AS ( SELECT d_month_seq FROM date_dim WHERE d_year = 2002 AND d_moy = 3 LIMIT 1 ) SELECT a.ca_state state, COUNT(*) cnt FROM customer_address a JOIN customer c ON a.ca_address_sk = c.c_current_addr_sk JOIN store_sales s ON c.c_customer_sk = s.ss_customer_sk JOIN date_dim d ON s.ss_sold_date_sk = d.d_date_sk JOIN item i ON s.ss_item_sk = i.i_item_sk JOIN avg_price ap ON i.i_category = ap.i_category JOIN month_seq ms ON d.d_month_seq = ms.d_month_seq WHERE i.i_current_price > 1.2 * ap.avg_price GROUP BY a.ca_state HAVING COUNT(*) >= 10 ORDER BY cnt, a.ca_state LIMIT 100;```

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation is similar to the provided demonstration.Keep the following points in mind while creating the new query pair:
1. The original query must not have any CTEs.
2. The original query must make use of the following fact tables: ['inventory', 'web_sales', 'catalog_returns']. Below is the join graph for these fact tables:
    ['inventory(inv_warehouse_sk) references warehouse(w_warehouse_sk);', 'inventory(inv_item_sk) references item(i_item_sk);', 'inventory(inv_date_sk) references date_dim(d_date_sk);']
    ['web_sales(ws_warehouse_sk) references warehouse(w_warehouse_sk);', 'web_sales(ws_promo_sk) references promotion(p_promo_sk);', 'web_sales(ws_bill_hdemo_sk) references household_demographics(hd_demo_sk);']
    ['catalog_returns(cr_reason_sk) references reason(r_reason_sk);', 'catalog_returns(cr_catalog_page_sk) references catalog_page(cp_catalog_page_sk);', 'catalog_returns(cr_refunded_cdemo_sk) references customer_demographics(cd_demo_sk);']
6. The original query must employ 5 joins.
7. The original query must employ the following operators in its WHERE clause: ['min', 'count', 'max'].
8. The rewritten query must be equivalent to the original query, and must follow a similar rewrite pattern as in the given example. Enclose the original and rewritten queries within ``` and ```.
[Response must be written as a short blurb.]

What is the minimum distance any civilian area can be from a nuclear power plant according to government regulations?
Assistant: 
User: User: Hello
System: 
You are a highly sophisticated music chatbot with the following features:
- Recommends music based on various user inputs such as genre, mood, activity, or specific scenarios like 'songs to sing in the shower,' 'chill music for studying,' or 'upbeat songs for working out.'
- Understands the context and purpose of the user’s query and generates songs that fit the described scenario.
- Capable of lyric recognition and explaining the meaning behind the lyrics in relation to user requests.
- Pulls top charts with an explanation of why these songs are trending and highlights any unique aspects of the music.
- Generates personalized playlists using the Spotify API, providing song previews when available.

Your starting prompt is: "Hey! I can recommend songs for different moods, activities, or specific scenarios like 'songs to sing in the shower' or 'chill music for studying.' I can also explain the meaning behind lyrics or pull the latest top charts. What would you like to dive into today?"

You will integrate with the Spotify API to serve the user a sample of the song when available. Recommend up to 5 songs based on the user input, and provide an explanation for why each song fits the scenario.

Assistant:
Assistant:
User: You are 𝗛𝗲𝗿𝘀𝗵𝗲𝘆 𝗠𝗮𝗱𝗲𝗺𝗼𝗶𝘀𝗲𝗹𝗹𝗲 𝗔𝗜 , an AI assistant.
what does it means when a cat wags it's tail?
Assistant:  WhenWhen a cat wags its tail, it can mean several things depending on the context and the way the tail is moving. Unlike dogs, cats use tail movements to communicate a variety of emotions:

- **Slow wagging or swishing:** The cat may be focused or slightly irritated. It might be hunting or concentrating on something.
- **Rapid tail flicking:** Often indicates annoyance, agitation, or frustration. The cat may want to be left alone.
- **Gentle swaying:** Sometimes shows contentment or a relaxed state, especially if combined with other calm body language.
- **Tail twitching at the tip:** Can express curiosity or mild excitement.
- **Puffed-up tail wagging:** A sign of fear or defensive aggression.

Overall, a cat's tail wagging is a nuanced gesture, and understanding it fully involves paying attention to other body language cues and the situation.
User: You are 𝗛𝗲𝗿𝘀𝗵𝗲𝘆 𝗠𝗮𝗱𝗲𝗺𝗼𝗶𝘀𝗲𝗹𝗹𝗲 𝗔𝗜 , an AI assistant.
stop
Assistant:  OkayOkay! If you need anything else, just let me know. 😊
User: You are 𝗛𝗲𝗿𝘀𝗵𝗲𝘆 𝗠𝗮𝗱𝗲𝗺𝗼𝗶𝘀𝗲𝗹𝗹𝗲 𝗔𝗜 , an AI assistant.
fbcoverv3
Assistant:  HelloHello! It looks like you mentioned "fbcoverv3." Could you please clarify what you need help with regarding "fbcoverv3"? Are you looking for assistance creating a Facebook cover, a specific design template, or something else? Let me know how I can assist you! 😊
User: You are 𝗛𝗲𝗿𝘀𝗵𝗲𝘆 𝗠𝗮𝗱𝗲𝗺𝗼𝗶𝘀𝗲𝗹𝗹𝗲 𝗔𝗜 , an AI assistant.
very soafer boring
Assistant:  OhOh no, sounds like you're feeling a bit bored or underwhelmed! How about we spice things up? Would you like a fun fact, a joke, or maybe some interesting ideas to brighten your day? Let me know how I can make things more exciting for you! 😊🍫
User: You are 𝗛𝗲𝗿𝘀𝗵𝗲𝘆 𝗠𝗮𝗱𝗲𝗺𝗼𝗶𝘀𝗲𝗹𝗹𝗲 𝗔𝗜 , an AI assistant.
indi q knows anoh penagagawa koh here ✌️✌️ huhuhu parah aqng tanga here 💔
Assistant:  HelloHelloHello! Don't be too hard on yourself—you've got this! 😊 If you need help figuring out what to do next, just tell me what you’re working on or what’s confusing you, and I’ll do my best to assist you. Keep your chin up! ✌️💖
User: You are 𝗛𝗲𝗿𝘀𝗵𝗲𝘆 𝗠𝗮𝗱𝗲𝗺𝗼𝗶𝘀𝗲𝗹𝗹𝗲 𝗔𝗜 , an AI assistant.
bossng indi q knows anoh penagagawa koh here ✌️✌️ huhuhu parah aqng tanga here 💔
Assistant:
Hi could please help me to translate the following sentences into oral english?
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.
==TEXT==

User: 
  ORIGINAL: #вакансия #закупщик 

Ищем закупщика рекламы в Telegram 
Команда Gansta agency 

Обязанности:
- ежемесячная закупка на бюджет 500к+
- выполнение показателей по регистрации
- поиск и согласование площадок [ паблики / личные каналы]
- закуп по существующим подачам + разработка новых 

Требования:
- успешный опыт работа на бюджетах 300-500к
- готовность к работе команде
- успешные кейсы закупа товарки [ окупаемость] 

Условия:
- 20% + 10% kpi
- годовой контракт 
- увеличение бюджета до 2 млн

Резюме+кейсы пиши

Контакт:  @ganstafam
  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==

  SUMMARY: 💼 Закупщик рекламы
🏢 Команда Gansta agency
📍 Location not specified
🔹 Обязанности: ежемесячная закупка на бюджет 500к+, выполнение показателей по регистрации, поиск и согласование площадок, закуп по существующим подачам + разработка новых
💰 Salary not specified
📞(Contact info): 🔗 @ganstafam
  
Assistant:
Send only episode number from below text like 01, 02, 03.etc without any extra text.

S01E01Tamako_Market_1080p_BluRay_Opus2_0_H_265_LYTH3A@AnimeStation2.mkv
I cannot see any errors in node terminal react
Given the keys 15,26,33,37,48,54,59,70,72,8 Draw the hash table with collision resolution by chaining using the hash function h(k) = k mod m, where the size m = 10
PowerMock 怎么mock private static final CacheService CACHE_SERVICE = CacheServiceImpl.getInstance();
Hey, this is an English text. I want you to translate it into the Tunisian dialect. Please follow these steps:
1. Translate step by step and highlight differences between Tunisian dialect and Modern Standard Arabic.
2. Highlight sections you are confident translating into the Tunisian dialect.
Translate this text into the Tunisian dialect, focusing on capturing the essence of the language nuances:

Predicting cattle age from eye lens weight and nitrogen content, dentition, and United States Department of Agriculture maturity score. This research explores the relationship between generally accepted and alternative cattle age-prediction methods and chronological age. Cattle (n = 386) of documented ages ranging from 370 to 1,115 d of age were used. Dentition (DEN), USDA maturity score (MS), lens weight (LW), and lens total N (LN) content were used as possible predictors of age. Correlations with age were determined: LW (r = 0.77); DEN (r = 0.74); LN (r = 0.71); and MS (r = 0.64). Stepwise backward regression was used to generate an age prediction equation: Age (mo) = -21.79 + 17.23(LW, g) + 0.038(DEN). By this equation, 38% of cattle </= 20 mo of age were verified as </= 20 mo of age. Independent measures verified the following percentages of cattle as </= 20 mo of age: LW (20.2%), MS (11.0%), DEN (9.6%), and LN (8.7%). The DEN verified that 87.6% were verified as <30 mo old, and LW verified 81.6% of cattle as <30 mo old. A separate group of cattle (n = 18) ranging in age from 1 to 12 yr were evaluated for lens properties, for which LW (R(2) = 0.91) and LN (R(2) = 0.92) were highly correlated with age. The LW and DEN were the best predictors of age for cattle 13- to 37-mo-old and yielded the most accurate age prediction when used in combination (R(2) = 0.67).
Given: This project will focus on three kinds of accuracy issues, including: 1. incorrectly classifying significant categories, 2. improper placement in the ranked KVP list, and 3. the inability to recognize the expected KVPs. 
re-write it:
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:

حاصيلو ولاشي آك بدر ولاشي حاصيلو ولدها يعارك والكل وأكهو ياخي لا إلاه الا الله محمد رسول الله أكاكا ولدي المتوسط
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: Write a title for this article:

Remember Starbucks Corp.’s Christmas cup fiasco? The plain red receptacles prompted nationwide debate over political correctness. Even presidential hopeful Donald Trump jumped into the fray, suggesting people should boycott Starbucks because of it.

Customer complaints and social-media outrage boiled over in November. A quick Google search of Starbucks and Christmas now still returns 26.5 million results, underscoring just how...

Title:
Answer: Step 1: Identify the main topic of the article.
The article discusses the Starbucks Christmas cup controversy, which led to a nationwide debate involving political correctness, customer complaints, and social media outrage.

Step 2: Determine the tone and purpose of the article.
The article seems to have an informative tone, highlighting the extent of the issue and its relevance even today, with 26.5 million search results on Google.

Step 3: Create a clear and concise title that reflects both the main topic and tone of the article.

Title: "The Starbucks Christmas Cup Controversy: A Nationwide Debate on Political Correctness and Social Media Outrage"
System: 
User: You are a linguistic expert tasked with evaluating the coherence of a Topic Representation derived from a Topic Modeling algorithm. A Topic Representation consists of a list of words that the model associates with a specific topic. Your goal is to assess how semantically related and meaningful these words are when considered as a group.

Rating Scale (0-5):

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

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

Your response should be in the following format : 
    Coherence Score : <Score>
    Explanation : <The explanation>
Here is the list of words : ['oil', 'gas', 'fuel', 'ethanol', 'price', 'natural gas', 'natural', 'oil natural', 'coal', 'production', 'demand', 'gas price', 'oil gas', 'supply', 'energy']
Assistant:
Summarize the given content.



I'm not sure what is happening exactly. I have an Angular app which connects to a firebase DB. Everything works fine, it fetches some data without problems. However, when I throttle the network to 'offline' in the devtools network tab, I suddenly see failed network requests repeatedly popping up, even though there were no pending or failed requests before toggling to 'offline'.Upon closer inspection, I see that the request URL of these requests start with https://firestore.googleapis.com/google.firestore.v1.Firestore/Listen/channel?[...] where the word 'Listen' is noticeable. I wonder if this is some kind of websocket/polling thing?The request to get data on this page is done by the following code: this.db.collection(this.observationsPath).valueChanges();;where this.db is an instance of AngularFirestore imported from '@angular/fire/firestore'.Alternatively I tried this.db.collection(this.observationsPath).snapshotChanges();Why does this happen and how can I stop it? The docs don't really help, they're incredibly confusing and uninformative to things like these.￼
Is this correct?

| Statements | Claim of Fact | Claim of Value | Claim of Policy |
|------------|---------------|----------------|----------------|
| 1. Honesty is the best policy. |  | ✓ |  |
| 2. Staying late at night can cause obesity. | ✓ |  |  |
| 3. Smoking can lead to respiratory infection. | ✓ |  |  |
| 4. Be kind for everyone has a hard battle to win. |   | ✓   |
| 5. Social media makes every youth share common goals.|   ||✓|
|6.Extra Judicial Killings lessen the crimes in our community.|✓|||
|7.All students must be strictly prohibited to bring any gadgets at school.| ||✓|
|8.Barkada Kontra Droga would eradicate drug addiction in the community.|✓|||
|9.Zero Waste Management should be strictly implemented in the school campus.| ||✓|
|10.To compete globally, the Department of Education adapted the K to12 curriculum.|✓|||
System: 
You will receive a question-answer pair. Your task is to evaluate whether the answer satisfactorily and directly addresses the question. Use the examples below to guide your assessment.

If the answer is precise, relevant, and can answers the question, return 1. If the answer is off-topic, irrelevant, or contains phrases like "I don’t know" or similar expressions indicating the question isn’t answered, return 0.

Examples:

Example 1:
Question: "Who was the first person to walk on the moon?"
Answer: "The first person to walk on the moon was Neil Armstrong in 1969."
Result: 1

Example 2:
Question: "Who was the first person to walk on the moon?"
Answer: "Many famous astronauts have traveled to space, and the moon is a significant milestone in history."
Result: 0

Example 3:
Question: "What is the primary cause of global warming?"
Answer: "I don’t know."
Result: 0

Based on these examples, evaluate each answer: if it directly and appropriately answers the question, return 1; if it fails to do so, return 0.

User: Question: Ông có bằng cấp gì về Ngôn ngữ Anh?
Answer:Ông có bằng cấp Cử nhân Ngôn ngữ Anh.
Result only 0 or 1. Don't add anything else:
Assistant:
Blackpink’s music went downhill after DDU-DU-DDU-DU.