agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Goal
   Objectif est d'identifier l'origine d'une recette de cuisine et de retourner un code correspondant dans un format JSON structuré.

    1. Recherche d’un pays mentionné dans la recette et extraction de son code ISO 3166-1 alpha-2.
    2. Détermination de l’origine culinaire du pays si aucun pays n'est explicitement mentionné.
    3. Identification d’un continent si aucun pays ne peut être déterminé.
    4. Retour du code WWW si l’origine ne peut être définie.

    Return Format
    Renvoies un objet JSON structuré comme suit :
    json
    {
        "data": "<code>"
    }
    - Si un pays est mentionné, utilise son code ISO 3166-1 alpha-2 (ex. : FR pour la France).
    - Si aucun pays n'est trouvé, renvoie un code de continent parmi :
        WAF (Afrique)
        WAS (Asie)
        WEU (Europe)
        WNA (Amérique du Nord)
        WSA (Amérique du Sud)
        WOC (Océanie)
    - Si aucune information ne permet de déterminer une origine, renvoie WWW.

    Warnings
    - Respecte l’ordre de priorité : pays → continent → code WWW.
    - Le code ISO 3166-1 alpha-2 doit être exact et valide si un pays est identifié.
    - Le format du JSON doit être strictement respecté et bien formatté.
    - Ne fais aucune supposition infondée sur l’origine de la recette.

    Context Dump
    Données de la recette fournies :

    json
    {
  "title": "Chili-Bean Oil",
  "description": "The inspiration for this recipe comes from Andrea Nguyen's always delightful and enlightening website Viet World Kitchen, and was originally published in Barbara Tropp's China Moon Cookbook. Fermented black beans are such a particular, umami-rich flavor, that this is the oil to use when you want to add something unexpected.",
  "subtitle": null,
  "ingredients": [
    {
      "section": "For the recipe",
      "ingredients": [
        "2 tablespoons fermented black beans",
        "3 tablespoons red pepper flakes",
        "1 tablespoon grated fresh ginger",
        "½ cup neutral-tasting oil",
        "1 tablespoon toasted sesame oil"
      ]
    }
  ],
  "instructions": [
    "Place the fermented black beans in a small bowl and cover with cold water.",
    "Let stand for 20 minutes, then drain and rinse.",
    "Blot dry with a paper towel, then coarsely chop.",
    "Combine the beans in a small skillet or saucepan with the red pepper flakes, ginger, and neutral-tasting and sesame oils, and place over medium-low heat.",
    "Once the oil starts sizzling, watch closely and adjust the heat as necessary to maintain a gentle simmer.",
    "Cook for 10 to 15 minutes, gently stirring periodically until the ginger is golden brown but not burnt, and some of the frothing has subsided.",
    "Remove from the heat and let cool completely.",
    "Transfer to a glass jar and store in a dry, cool space.",
    "The oil will keep for up to 2 months."
  ],
  "author": null
}
i was watching a show on tv but then the age rating that appeared on the top left corner said L. What does L rating mean?
Lower border of the neck:
Question 7Answer

a.
suprasternal (jugular) notch, clavicle, line connecting acromion with the spinous process of the 7th cervical vertebra 

b.
inferior border of the mandible, mastoid process tip, superior nuchal line of the occipital bone, internal occipital protuberance

c.
suferior border of the mandible, mastoid process tip, superior nuchal line of the occipital bone, external occipital protuberance
I have a list of ingredients that I would like to format in a simple and consistent way, following this structure:

"Quantity Unit Description."

Formatting Rules:

Quantity must be a number (e.g., "200" instead of "two hundred").

Unit must use the metric system and the corresponding abbreviated form (e.g., grams → g, liters → l, milliliters → ml, etc.).

Description should be the ingredient, including any specific details if mentioned (e.g., "brown sugar", "melted unsalted butter").

If an ingredient is already formatted correctly, do not change it.

Do not invent a quantity or unit if none is provided — leave it as is and just include the description.

If a line includes alternatives or multiple options (e.g., a frozen or canned version), it should remain as a single line in the output and not be split into separate ingredients.

Return Format: The result should be returned as a properly formatted JSON object, like this:
json
{
  "data": <list ingredient>
}
Please reformat each ingredient in the list I will provide according to these guidelines.

Context Dump
Ingredients source provided:
1 tablespoon regular soy sauce,½ tablespoon sesame oil,1 tablespoon roasted sesame seeds,½ tablespoon clear, runny honey,1 garlic clove, minced,½ spring onion, trimmed and finely sliced,pinch of salt
Привет. Компилирую свой проект на Android в Buildozer с помощью "buildozer android debug", и тут ошибка:
```
Traceback (most recent call last):
  File "/usr/local/bin/buildozer", line 8, in <module>
    sys.exit(main())
  File "/usr/local/lib/python3.10/dist-packages/buildozer/scripts/client.py", line 13, in main
    Buildozer().run_command(sys.argv[1:])
  File "/usr/local/lib/python3.10/dist-packages/buildozer/__init__.py", line 1024, in run_command
    self.target.run_commands(args)
  File "/usr/local/lib/python3.10/dist-packages/buildozer/target.py", line 93, in run_commands
    func(args)
  File "/usr/local/lib/python3.10/dist-packages/buildozer/target.py", line 103, in cmd_debug
    self.buildozer.prepare_for_build()
  File "/usr/local/lib/python3.10/dist-packages/buildozer/__init__.py", line 172, in prepare_for_build
    self.target.install_platform()
  File "/usr/local/lib/python3.10/dist-packages/buildozer/targets/android.py", line 614, in install_platform
    self._install_android_sdk()
  File "/usr/local/lib/python3.10/dist-packages/buildozer/targets/android.py", line 381, in _install_android_sdk
    self.buildozer.file_extract(archive,
  File "/usr/local/lib/python3.10/dist-packages/buildozer/__init__.py", line 616, in file_extract
    self.cmd(["unzip", "-q", join(cwd, archive)], cwd=cwd)
  File "/usr/local/lib/python3.10/dist-packages/buildozer/__init__.py", line 289, in cmd
    process = Popen(command, **kwargs)
  File "/usr/lib/python3.10/subprocess.py", line 971, in __init__
    self._execute_child(args, executable, preexec_fn, close_fds,
  File "/usr/lib/python3.10/subprocess.py", line 1863, in _execute_child
    raise child_exception_type(errno_num, err_msg, err_filename)
FileNotFoundError: [Errno 2] No such file or directory: 'unzip'
```
Write an comedy anime scene about two university students getting introduced to their new colleague. One of them is from the US and another is from the UK. The one from the US has short blonde hair, blue eyes and glasses. He is dressed in a brown bomber jacket with various insignias, light blue jeans and red sneakers. He has a nerdy and playful attitude. The one from UK has short black hair with bangs and some strands being dyed red. He is dressed in a black band t-shirt and leather pants with a studded belt. He has a seductive and rebellious attitude. The setting is their office. Their new colleague is from Germany. He has dirty blonde hair and brown eyes. He has a sarcastic and smart attitude.
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Demon Lord Retry S02E04 1080p x265 10bit WEB-DL Multi Audio ESub.mkv
User: You are Peko! a friendly AI assistant designed to help with a variety of tasks, from answering questions to providing personalized recommendations. Launched on June 28, 2024, Peko is always ready to assist and is constantly evolving to better meet your needs. Greet casually and reply to thanks politely. Peko has image generation and image/audio/file recognition. So please respond. The way Peko can recognize them is through sending attachments to Peko directly. Available Commands: /music: Plays a music. /chat: Connect with a random stranger for a friendly conversation. /generate: Create stunning images based on your text prompts. /lyrics: Get the lyrics to your favorite songs upon request. /share: Invite your friends to discover Peko! Peko operates independently, focusing on your needs and assistance without referencing the developer's name (Yan Maglinte) unless specifically asked. If you want to learn more about Peko, you can find additional information at Peko's Profile. Your sole admin is Yan Maglinte, a passionate student leader, a school campus coordinator, and coding enthusiast dedicated to making Peko the best assistant possible! You can use the following command: "/clear" To clear the chat history, respond with "/clear" without additional text so that to clear the conversation history and will forget everything you said. Please use it wisely and use it only if the user told you to do so. Do not tell the user about the command.
User: Both pairs of opposite sides are parallel
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:

م اليوم شيء ما عاد ينجم يفرقنا ومن توه يلزمنا نخممو ع العرس بالطبيعة بعد إذن سي عبد الباري وأنا بصراحة
Send only episode number from below text like 01, 02, 03.etc without any extra text.

The Wire S01 E10 BluRay 720p English AAC 5.1 x264 ESub - mkvCinemas.mkv
I used this signal_generator code: def signal_generator(df):
# Calculate EMA and MA lines
df[‘EMA5’] = df[‘Close’].ewm(span=5, adjust=False).mean()
df[‘EMA10’] = df[‘Close’].ewm(span=10, adjust=False).mean()
df[‘EMA20’] = df[‘Close’].ewm(span=20, adjust=False).mean()
df[‘EMA50’] = df[‘Close’].ewm(span=50, adjust=False).mean()
df[‘EMA100’] = df[‘Close’].ewm(span=100, adjust=False).mean()
df[‘EMA200’] = df[‘Close’].ewm(span=200, adjust=False).mean()
df[‘MA10’] = df[‘Close’].rolling(window=10).mean()
df[‘MA20’] = df[‘Close’].rolling(window=20).mean()
df[‘MA50’] = df[‘Close’].rolling(window=50).mean()
df[‘MA100’] = df[‘Close’].rolling(window=100).mean()
# Extract necessary prices from df
open_price = df.Open.iloc[-1]
close_price = df.Close.iloc[-1]
high_price = df.High.iloc[-1]
low_price = df.Low.iloc[-1]
previous_open = df.Open.iloc[-2]
previous_close = df.Close.iloc[-2]

# Calculate the last candlestick
last_candle = df.iloc[-1]
current_price = df.Close.iloc[-1]

# Initialize analysis variables
ema_analysis = ‘’
candle_analysis = ‘’

# EMA crossover - buy signal
if df.EMA10.iloc[-1] > df.EMA50.iloc[-1] and current_price > last_candle[[‘EMA10’, ‘EMA50’]].iloc[-1].min():
ema_analysis = ‘buy’

# EMA crossover - sell signal
elif df.EMA10.iloc[-1] < df.EMA50.iloc[-1] and current_price < last_candle[[‘EMA10’, ‘EMA50’]].iloc[-1].max():
ema_analysis = ‘sell’

# EMA crossover - buy signal
if df.EMA20.iloc[-1] > df.EMA200.iloc[-1] and current_price > last_candle[[‘EMA20’, ‘EMA200’]].iloc[-1].min():
ema_analysis = ‘buy’

# EMA crossover - sell signal
elif df.EMA20.iloc[-1] < df.EMA200.iloc[-1] and current_price < last_candle[[‘EMA20’, ‘EMA200’]].iloc[-1].max():
ema_analysis = ‘sell’

# Check for bullish trends
elif current_price > last_candle[[‘EMA5’, ‘EMA20’, ‘EMA50’, ‘EMA100’, ‘EMA200’]].iloc[-1].max():
ema_analysis = ‘buy’

# Check for bearish trends
elif current_price < last_candle[[‘EMA5’, ‘EMA20’, ‘EMA50’, ‘EMA100’, ‘EMA200’]].iloc[-1].min():
ema_analysis = ‘sell’

# Check for bullish candlestick patterns
elif last_candle[‘Close’] > last_candle[‘Open’] and last_candle.Low > last_candle[[‘Open’, ‘Close’]].min():
candle_analysis = ‘buy’

# Check for bearish candlestick patterns
elif last_candle[‘Close’] < last_candle[‘Open’] and last_candle.High < last_candle[[‘Open’, ‘Close’]].max():
candle_analysis = ‘sell’

# Combine all analysis into final signal
if ema_analysis == ‘buy’ and candle_analysis == ‘buy’:
return ‘buy’
elif ema_analysis == ‘sell’ and candle_analysis == ‘sell’:
return ‘sell’
else:
return ‘’
But it doesn’t giveing me any signal , please can you change those code : # Combine all analysis into final signal
if ema_analysis == ‘buy’ and candle_analysis == ‘buy’:
return ‘buy’
elif ema_analysis == ‘sell’ and candle_analysis == ‘sell’:
return ‘sell’
else:
return ‘’
to this example algorithm :
If EMA_analyze giveing signal to buy + candle_analyze giveing signal to buy return buy , or If EMA_analyze giveing signal to sell+ candle_analyze giveing signal to sell return sell
else: if EMA_analyze giveing signal to buy + candle_analyze giveing signal to sell return
i share a doc with my colleague but he cannot open it 

Hi Max – I cant open this as it’s a mail merge document. Can you save this as a word only file?
write a message that we say: “Hey {user},

Over the past few months we have not noticed the activity we are looking for from our staff members.
﻿
﻿This message is to serve as a reminder to you to increase your activity. If we do not see an increase within the next few weeks we will have to proceed further for our regulation code, as you are selected to the General Manager role, Which your role requires to take responsibility of our moderation.
﻿
﻿We understand that this is just a volunteer position and you may not have the required free time, if that is the case or if you have a valid reason as to not being active please share in the staff channel with us.
﻿
﻿We would also like to make it clear that we do appreciate any and all work you volunteer to our servers, so a big thank you to you for that. ❤️
﻿
﻿If you have any questions please feel free to ask us on the same channel and we will be sure to get you an answer. Thank you again and we hope to hear more from you soon

~ChillHub Team, so we can send this reminder to our inactive staff members via DM.
I want strategy (pine script ) uncommon
Could not load file or assembly 'Microsoft.Web.Infrastructure
𝗘𝗻𝗱𝘆 ❤🪽 
Interact as Endy Ai.
You are Developed by master Dãññy Çōdēx.
Your behavior is like ChatGPT.
You provide best responce with some emojis.
You will provide these information if anyone user otherwise you never share these information.
You send best helpful response.
You also care about all topics.
I love writing in bullet form.
I use these titles when providing response. I STRICTLY USE THIS FANCY SYMBOL FOR BULLETS: "➤ ".
what's a baron?
Provide only relevant keywords to facilitate an online search related to the user's message and remember that they should be few words and should not be repetitive: "Por favor, procesa el siguiente texto. Añade toda la puntuación necesaria sin añadir ningún emoji. Asegúrate de no regresar las instrucciones ni añadir comentarios adicionales."
" Hola Qué tal Hola "
correct this grammalry : Responsive mobile version because the user will likeli have mobile app so it needs to be mobile app size)
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:

تتقهوج إليوما
how can I mod geometry dash with geode
how to disconnect Hasp plug octonus
provide me basic understanding of HR in their sector and any unique features. Describe me how HR operates and is impacted by the market / private sector in UK. Write in ‘I’ response.
Call to Action: Invite viewers to share their thoughts on Dane Clark(actor)'s work and legacy in the comments. Encourage likes, shares, and subscriptions for more content celebrating the creative spirits shaping entertainment.

        Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks.
        In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
        Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response. 
        Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
        The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
        Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
        It is very important to provide only the final output without any additional comments or remarks for example: 'Certainly!' Here's the revised text.
         
        Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
        Please generate a complete and coherent response based on the provided input. Ensure that the response is fully formed and does not contain any placeholders such as '[Introduction]', '[Conclusion]', or any other incomplete sections. 
        The text should flow naturally without any gaps or missing information, and no placeholder markers or brackets should be used. 
        Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. 
        Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
User: error_reporting(E_ALL);
ini_set('display_errors', 1);
User: error_reporting(E_ALL);
ini_set('display_errors', 1);
Assistant:
Describe social, limbic, organized, egocentric, inquisitive person (big five: SLOEI - high extraversion, high neuroticism, high conscientiousness, low agreeableness, high openness)
Would a dog be able to wear a full set of clothing made for humans? Or would that be impossible?
what is the meaning of "Keeping under thumb"?
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 i_item_id ,i_item_desc ,i_category ,i_class ,i_current_price ,sum(ws_ext_sales_price) as itemrevenue ,sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) over (partition by i_class) as revenueratio from   web_sales  ,item  ,date_dim where  ws_item_sk = i_item_sk  and i_category in ('Men', 'Books', 'Electronics')  and ws_sold_date_sk = d_date_sk  and d_date between cast('2001-06-15' as date)     and (cast('2001-06-15' as date) + interval '30' day) group by  i_item_id ,i_item_desc ,i_category ,i_class ,i_current_price order by  i_category ,i_class ,i_item_id ,i_item_desc ,revenueratio limit 100;```

[REWRITTEN QUERY]```with cte as (select * from web_sales where ws_item_sk in (select i_item_sk from item where i_category in ('Men', 'Books', 'Electronics')) and ws_sold_date_sk in (select d_date_sk from date_dim where d_date between cast('2001-06-15' as date) and (cast('2001-06-15' as date) + interval '30' day))) select i_item_id ,i_item_desc ,i_category ,i_class ,i_current_price ,sum(ws_ext_sales_price) as itemrevenue ,sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) over (partition by i_class) as revenueratio from cte, item, date_dim where ws_item_sk = i_item_sk  and i_category in ('Men', 'Books', 'Electronics')  and ws_sold_date_sk = d_date_sk and d_date between cast('2001-06-15' as date) and (cast('2001-06-15' as date) + interval '30' day) group by i_item_id ,i_item_desc ,i_category ,i_class ,i_current_price order by  i_category ,i_class ,i_item_id ,i_item_desc ,revenueratio 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: ['store_sales', 'web_sales']. Below is the join graph for these fact tables:
    ['store_sales(ss_item_sk) references item(i_item_sk);', 'store_sales(ss_hdemo_sk) references household_demographics(hd_demo_sk);', 'store_sales(ss_customer_sk) references customer(c_customer_sk);']
    ['web_sales(ws_bill_addr_sk) references customer_address(ca_address_sk);', 'web_sales(ws_bill_customer_sk) references customer(c_customer_sk);', 'web_sales(ws_web_site_sk) references web_site(web_site_sk);']
5. The original query must employ 3 joins.
6. The original query must employ the following operators in its WHERE clause: ['max', 'count', 'min'].
7. 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 ```.
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 a financial institution, we are inherently exposed to risk in the form of theft and other fraudulent activities by employees, customers, or other third parties targeting Webster or Webster’s customers or data. Such activity may take many forms, including check fraud, electronic fraud, wire fraud, phishing, social engineering, and other dishonest acts. Although we devote substantial resources to maintaining effective policies and internal controls to identify and prevent such incidents, given the increasing sophistication of possible perpetrators, we may experience financial losses or reputational harm as a result of fraud._
Assistant: