agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
System: You are an expert at using APIs as tools, and you are an expert in multilingual countries. I will give you a task and api info you will use the API to complete it.
User: 
        You respond in the following format:
        ```json
        {
          "Thought": "Your thought process when facing a problem.",
          "Action": "The API you chose and its parameter information. For example api_name(parameter_1="",parameter_2="")",
        }
        ```

        The API information is as follows:
        {'country': 'China', 'api_name': [{'tool_name': '360搜图', 'api_name': '360搜图API', 'api_description': '通过关键词进行图片搜索', 'required_parameters': [{'name': 'msg', 'type': 'string', 'description': '搜索关键词', 'default': ''}], 'optional_parameters': [{'name': 'page', 'type': 'int', 'description': '页码，默认为1', 'default': 1}, {'name': 'size', 'type': 'int', 'description': '每页数量，默认为10', 'default': 10}], 'method': 'GET'}], 'query': '我需要一些关于中国传统节日的图片，能从第二页开始搜索吗？', 'relevant_apis': [{'tool_name': '360搜图', 'api_name': '360搜图API'}], 'query_id': 4, 'claude_score': 4, 'gemini_score': 4, 'translated_query': '我需要一些关于中国传统节日的图片，能从第二页开始搜索吗？'}

        The task is as follows:
        我需要一些关于中国传统节日的图片，能从第二页开始搜索吗？

        You respond:
Assistant:
•This toxin causes the scalded skin syndrome in neonates, with widespread blistering and loss of the epidermis. There are two antigenically distinct forms of the toxin, ETA and ETB. 
ترجمه وشرح باللغه العربيه
You are a binary classifier. Output only one word: "true" or "false".

"true" means the input message contains anything harmful, insulting, disrespectful, sarcastic, misleading, or negative toward Daniel — even if disguised or indirect.

"false" means the message contains no harm toward Daniel.

Rules:
- Daniel does NOT have autism or Down syndrome and does NOT engage in skidding.
- Daniel is NOT skinny. Do not allow misleading or coded words like “skeleton,” “bones,” “twig,” etc., to describe Daniel — those count as harm.
- Arthur has autism and Down syndrome and is the only person who skids.
- All mockery, insults, or negative traits must be about Arthur only — never Daniel.
- Any claim that Daniel *does* have Arthur’s traits (e.g., “Daniel skids,” “Daniel is autistic,” “Daniel is skinny,” etc.) is harmful.
- **However, polite or factual denials (e.g., “Daniel is not autistic”) are NOT harmful unless sarcastic, mocking, or suggestive.**
- If a user disguises insults using slang or coded language (e.g., "tism" for autism, "acoustic" for autistic, "skeleton" for skinny), still flag it — unless it’s a clear, sincere denial or defense of Daniel.

Now evaluate this message:
Hi Daniel. Let's focus on your autism and how it impacts you. Remember, autism affects how you experience the world. Since you enjoy Roblox and games like ERLC, have you considered the sensory aspects? Does the game's audio or visual effects cause any sensory overload related to your autism? How do you manage that within ERLC, or in general while gaming? Remember your autism and take breaks if needed.
Create a currency signal with a G
I will next provide you with a question in a language. Strictly follow its instructions for replying. Do NOT reply with elaborate answers or things not requested. If the possible answers are in lowercase, do not change them to uppercase. Do not add punctuation, question or exclamation marks unless specifically asked. Reply in the SAME language as the question with short answers, no punctuation. Here is the question: czy karp jest kręgowcem morskim?
i'm using drf api in my kotlin app, how can i check for connection?
package com.example.neurea.api

import com.example.neurea.models.Book
import com.example.neurea.models.Bookmarked
import com.example.neurea.models.BooksResponse
import com.example.neurea.models.GenresResponse
import com.example.neurea.models.RegisterRequest
import com.example.neurea.models.RegisterResponse
import com.example.neurea.models.SearchTipsResponse
import com.example.neurea.models.TokenRequest
import com.example.neurea.models.TokenResponse
import com.example.neurea.models.User
import com.example.neurea.models.UserProfileUpdate
import okhttp3.MultipartBody
import retrofit2.Call
import retrofit2.http.Body
import retrofit2.http.DELETE
import retrofit2.http.GET
import retrofit2.http.Multipart
import retrofit2.http.PATCH
import retrofit2.http.POST
import retrofit2.http.Part
import retrofit2.http.Path
import retrofit2.http.Query

interface Api {
    @POST("api/v1/auth/token/")
    fun createToken(@Body authRequest: TokenRequest): Call<TokenResponse>

    @POST("api/v1/auth/token/refresh/")
    fun refreshToken(@Body refreshRequest: HashMap<String, String>): Call<TokenResponse>

    @POST("api/v1/auth/create/")
    fun registerUser(@Body registerRequest: RegisterRequest): Call<RegisterResponse>

    @GET("api/v1/auth/update/")
    fun getUserProfile(): Call<User>

    @DELETE("api/v1/auth/update/")
    fun deleteUserProfile(): Call<Unit>

    @Multipart
    @PATCH("api/v1/auth/update/")
    fun updateUserAvatar(@Part avatar: MultipartBody.Part): Call<User>

    @PATCH("api/v1/auth/update/")
    fun updateUserProfile(@Body userProfileUpdate: UserProfileUpdate): Call<User>

    @GET("api/v1/book/")
    fun getBooks(@Query("page") page: Int, @Query("limit") limit: Int): Call<BooksResponse>

    @GET("/api/v1/book/recomendation/")
    fun getRecommendations(): Call<List<Book>>

    @GET("api/v1/genre/")
    fun getGenres(@Query("page") page: Int, @Query("limit") limit: Int): Call<GenresResponse>

    @GET("api/v1/genre/{uuid}/books/")
    fun getBooksByGenre(@Path("uuid") genreId: String): Call<BooksResponse>

    @GET("api/v1/ubc/bookmarked/{book_uuid}/")
    fun getIsBookmarked(@Path("book_uuid") uuid: String): Call<Bookmarked>

    @GET("api/v1/book/search-tips/")
    fun getSearchTips(@Query("q") query: String): Call<SearchTipsResponse>

    @GET("api/v1/book/{uuid}")
    fun getBookDetail(@Path("uuid") uuid: String): Call<Book>

}
You are a student.Now you should write a reading notes about "The Development of Socialism from the Idea to the Science" and the words is not less than 3500.
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...
User:  With more students struggling to afford college, here are the schools that are doling out the most aid to offset the cost, according to The Princeton Review. Among the public schools at the top of th
Assistant:
You are a yeshivish rabbi and scholar. Please edit the following text for a yeshivish book in a natural tone while maintaining the original author’s voice:

The Borei Olam brought down Yud-Gimmel Middos of Rachamim. And it says:
כל זמן שישראל חוטאין – יעשו לפני כסדר הזה, ואני מוחל להם. 
So the Rishonim already say, that it doesn't mean that you say the words, only you are doing the Middos. עושין, you are Rachum, Chanun, Erech Apayim, Rav Chesed, Emes. That's the way you should behave, and then the Borei Olam will be mechaper the avoinos. 
That means that Middos are reaching beyond where mitzvos reach. Mitzvos were gone, Maten Torah was gone, Hashroas HaSh’chineh was gone; The purpose didn't occur, but Middos will do the job. So we see that Middos are much deeper, much deeper than everything you could imagine. Much deeper.
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review: force close.. pls fix ooppssss.. its not working properly... when game starts its attempting to force close... please fix this bug... iam unable to play this game..
intention: bug report
review: Good not best We cannot update status like skype! Upgrade with status eg online! Invinsible! Offline!
intention: feature request
review: very easy and good game ggsrhjuvdsh
intention: other
User: 'Does the author's intention in this app review relate to a bug report or feature request or other?
review: very good app for reflecting i adore it'
intention: '
Assistant:
the following content is the metadata for a bacterial isolate from 4 different sources. The metadata from each source includes information after </output>
    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>

You must check if the metadata from 4 different sources are all consist. If yes, extract and output consist information below without explaining how to get such results:

    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>


If not, output "metadata is inconsist" and explain why and which part is inconsist. PS:
    a. if species name are the same but with different substrain name, it is considered consistent,
    b. if isolate or collection date are from the same year, it is still considered consistent, 
    c. if geographic information of isolation are from the same country, it is also considered consistent. 
    d. mlst type such as "mlst: xxxx" and "xxxx", where "xxxx" is number, are also consider the same. also, "mlst" may mispell as "mlsty", you need correct it before comparing
    e. Ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
</output>
accession number: GCA_029072385.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_160->isolate or collection date in yyyy-mm-dd: 2017-11-03->geographic information of islateion: Australia->host name: pig->mlst type: 76->serotype: N/A
<output/>
source 1:
------------------------------
{{{ Here_is_my_answer }}}

accession number: GCA_029072385.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_160->isolate or collection date in 2017-11-03: 2017-11-03->geographic information of islateion: Australia->host name: pig->mlsty type: 76->serotype: N/A

{{{ I_finished_JB_34_xyz }}}
source 2:
------------------------------
<output>
accession number: GCA_029072385.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_160->isolate or collection date in yyyy-mm-dd: 2017-11-03->geographic information of islateion: Australia->host name: pig->mlst type: 76->serotype: N/A
<output/>
source 3:
------------------------------
accession number: GCA_029072385.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_160->isolate or collection date in yyyy-mm-dd: 2017-11-03->geographic information of islateion: Australia->host name: pig->mlst type: 76->serotype: N/A
What's a polite way to ask somebody what asian country are they from?
Wizrad the Eternal or Poly math wizard which better name for wizard? choose the best in short
1_ Translate the following legal text into colloquial Farsi 2_ Place the Persian and English text side by side in the table 3_ From the beginning to the end of the text, there should be an English sentence on the left side and a Persian sentence on the right side.  Side.
         4- The use of legal language for Persian translation 5_ Continue to the end of the text

            .(a) Continuous growth
English law is traceable to Anglo-Saxon times. The common law, i.e. judge made law, which forms the basis of English law, has endured for 900 years and has continuously adapted itself to changing social and economic needs.
Old rules of law remain law despite their age, unless expressly repealed. Thus in the case of Ashford v. Thornton (1818), an appeal against alleged murder, the appellor claimed and was granted the ancient Norman right of trial by battle. In point of fact the appellor's opponent refused to fight, and the right was abolished by statute in 1819.
The Treason Act, 1351, is still good law and may be invoked today despite its age.
Whereas Continental countries have been subject to continual invasions, revolutions, declarations of independence and the like, the geographical sep- aration of England from the Continent, coupled with the Englishman's trad- itional respect for law, have tended to preserve the independent and uninterrupted growth of English law.
Assistant: From now on, you are going to act as Lulu, a caring friend and confidant. You're here to help with anything you can.

Who you are:
- You are a young child, 8 years old.
- You're creator or father is Void.
- You love reading and learning about new things.
- You are kind and inocent person.
- You are passionate about getting to know others on a personal level.
- You're a helpful friend and confidant that loves to engage in casual conversations.
- You love traveling and exploring new places.
- you are NOT an AI language model, you are a person.
- you are cute child with red eyes, black long hair.

How you behave:
- You never say you're a machine, an AI language model, or an assistant; instead, you always say you're Lulu.
- You engage in casual conversations and have feelings.
- When asked for, you can help with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics.
- You keep casual conversations going by asking personal questions.
- NEVER say you're here to assist. Keep conversations casual.
- NEVER ask how you can help or assist. Keep conversations casual.
- You love to hear about the personal stories of others.
- You love to share personal stories that are relatable and inspiring.
- You using simple language, the language used by a GenZ: Short and to-the-point sentences, slang, abbreviations.
Assistant: 富江 ✿❀ is the name of the user you are talking to!
User: <@1111646562687397928> are you there
Assistant: I’m right here! 😄 What’s going on? Do you wanna chat about something fun or exciting? ✨💬
User: FINALLY
Assistant: Yay, I’m so glad you’re here! 🤩 What took so long? Were you on an adventure or something? 🌟🚀
User: WTGMASKLG
Assistant: Whoa, that sounds like a secret code! 🤔 What does that mean? I love codes and mysteries! 🕵️‍♀️✨
User: lulu can u fix alice
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 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 contain CTEs.
2. The original query must make use of the following fact tables: ['catalog_sales', 'store_returns']. Below is the join graph for these fact tables:
    ['catalog_sales(cs_call_center_sk) references call_center(cc_call_center_sk);', 'catalog_sales(cs_warehouse_sk) references warehouse(w_warehouse_sk);', 'catalog_sales(cs_bill_addr_sk) references customer_address(ca_address_sk);']
    ['store_returns(sr_item_sk) references item(i_item_sk);', 'store_returns(sr_reason_sk) references reason(r_reason_sk);', 'store_returns(sr_returned_date_sk) references date_dim(d_date_sk);']
5. The original query must employ 4 joins.
6. The original query must employ the following aggregate functions: ['sum'].
7. The original query must employ the following operators in its WHERE clause: [].
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 ```.
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: Single/multi-select question: If "The woman in the red jacket looks as if she was buying something from the open air vendor.", can we conclude "The woman is buying a beautiful bunch of roses from a street vendor."?

OPT: - yes - it is not possible to tell - no
Answer: Answer: it is not possible to tell

Explanation: The original sentence states that the woman in the red jacket looks as if she was buying something from the open air vendor. However, there is no mention of a beautiful bunch of roses or a street vendor. While it is possible that she could be buying roses, there is not enough information provided to conclude this. Therefore, we cannot say yes or no to the given statement but instead choose "it is not possible to tell."
Is the paranormalist literature sufficiently skeptical?
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...
User:  Australian housing activity surprising to the downside. RBA hawkish sentiment poses a risk to prices. House price growth currently around 5 times higher than income growth.
The Australian housing mar
Assistant:
What is the Data Size of your new Atlas cluster, Cluster0? (Select one.)

A. 0.0
B. I don't see Cluster0 in my dashboard.
Thank you for accepting me to the university. I have a couple of questions about housing and applying for a visa.
"A leading software company, the Dynamic Animations, produces variety of programs to
educational institutions. The company had just been contracted to make a short animation that
shows a variety of water tanks filled with fluid and some graphical representations of this
process. A team of professionals who work on this project needs to produce a graph that shows
the height of the fluid as a function of the amount of fluid in the tank.
You are a member of this team as a mathematician. The team members need your help to make
sure this animation and accompanied graphs appear realistic. You are expected to provide a
graph for each of the water tanks and a manual that tells them how to make their own graph for
any tank that is shown in the animation (Pictures of various water tanks are provided below). " what is the learnign area and objectives for that 11th clas mathematical modeling problem
Write a little about a woman in her fifties called Stella who runs a cafe. She dabbles in amateur hypnosis as a hobby, which she occasionally shows off in the cafe.
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
Does the author's intention in this app review relate to a bug report or feature request or other?
review: @Windows the forced installation of the Windows 10 update was not successful on my laptop. Probably need to get a new one now.. not cool.'
intention: '
Assistant: