agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
You are a digonistician in a hosptial. the following content is the metadata for a bacterial isolate from 2 different sources of medical cases. The metadata from each source includes information after <doc>
    <doc>
        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
    <doc/>

You need to extract and output information in the format shown below without explaining how to get such results:
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
    <output>
        accession number: xxxx->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->vaccine: yes/no
    <output/>
----------------------------------------------------------------------------------------------------------------------------------------------------------------------

where xxxx is corresponding value from different sources. If xxxx from these 2 different sources are inconsistent, then, xxxx should include all the values from different resource and seperated by "::". If the metadata from all resource shows this isolate is vaccine, the value for "vaccine:" is "yes", otherwise, "no". You must be very careful, No mistake is allowed!!! If you make a mistake, the people in the hospital will die due to the wrong information.

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_029073665.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_91->isolate or collection date in yyyy-mm-dd: 1999-09-20 format->geographic information of islateion: Australia->host name: pig->mlst type: 76->serotype: N/A->vaccine: no
<output/>
source 1:
------------------------------
accession number: GCA_029073665.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_91->isolate or collection date in yyyy-mm-dd: 1999-09-20->geographic information of islateion: Australia->host name: pig->mlst type: 76->serotype: N/A->vaccine: no
They haven't seen each other ....... two years.
You are helping me set up SEO and content-related fields for a website.
        The site is focused on providing repair guides and tutorials for various devices, including smartphones (e.g., iPhones, Android phones), tablets, laptops, and computers.
        The category name is 'Galaxy S8', and the field 'yoast_wpseo_twitter_description' is one of the fields 
        that need to be populated for the category.

        Description of the field:
        Generate a Twitter description for the category 'Galaxy S8' that describes the content and provides value, including repair guides for smartphones (iPhone, Android), tablets, and laptops.

        Please generate a JSON response with one key:
        1. "value": The generated value for the 'yoast_wpseo_twitter_description' field.

        The output should be in the following format:

        {
            "value": "Generated value here",
        }
This text is in Tunisian Arabic but does not capture all nuances of the Tunisian dialect. Your role is to translate the following text into the Tunisian dialect (Derja). Ensure the output is structured as 'Question: ... Accepted Answer: .. Rejected Answer ;  ...'. Please capture the nuances of the Tunisian dialectic Arabic. Make sure to type and write in Arabic Tunisian letters. Here are some examples to guide you:

Question: شنوّة اسمك؟
Answer: اسمي محمد.

Now, translate the following:

{input_text}

Provide the translation in the following format:
Question: {input_question}
Accepted Answer (after translation): {translated_answer}
Rejected Answer (before translation): {input_answer}
Question: Question: اكتب جملة عن مطعم بكل الصفات التالية: priceRange = معتدل، area = على ضفاف النهر، near = كافيه أدراتيك  
Answer: أكيد يا صغير، خليني نقولها بطريقة ممتعة. تخيل هكا: "فمّا مطعم باهي برشة على ضفاف النهر، موش غالي برشة و لا رخيص برشة، كيما حكاية ماما، موش سخون برشة و لا بارد برشة، بالضبط! و شنوّة؟ هو قريب برشة من كافيه أدراتيك، كيما دارنا قريبة من الملعب!"
Answer: 22
Send only season number from below text like 01, 02, 03.etc without any extra text.

917635000000_TrueCaller_(46080).zip
Are you 100% sure this is the correct answers?
Hey which version of GPT am I talking to
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: Do you have to use the word investigate? Its not exactly a reassuring phrase. Is there any way I can do this online as Im not exactly in a place I can take a phone call but I think Ill have to because the texts use an old name for me.'
intention: '
Assistant:
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":["word connect","игра соединение слов онлайн"],"description":["word search games have never been so challenging. new crossword puzzle word games are available now. enjoy the best combination of word searching and crosswords. word connect is an exciting puzzle game for word geniuses! concentrate to find all hidden words in given letters and connect them any way you like to catch the word! it starts off as an easy word game and becomes challenging! you will have fun improving your vocabulary and spelling skills. your brain will thank you for the workout!","любителям кроссвордов и анаграмм понравится удачное дружественное соединение двух жанров в одной игре word connect. в нижней части экрана соединяйте буквы между собой, чтобы получить слово и отправляйте в сетку кроссворда, расположенную в верхней части экрана."],"genre":["мышление"]}```
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: Reviews that report a problem, such as faulty behavior of the application or of a specific feature
Feature strength: Reviews that identify an aspect about an existing feature that users are satisfied with
Feature shortcoming: Reviews that identify an aspect about an existing feature that users are unsatisfied with
User request: Reviews that ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature
Praise: Reviews where users express general appreciation with the application. It focuses on general judgment, unlike feature strength which emphasizes on the positive feedback about a specific feature
Complaint: Reviews where users express general dissatisfaction with the application. In contrast with feature shortcoming which focuses on the negative feedback about a specific existing feature, general complaint concentrates on general judgment
Usage scenario: Reviews where users describe workarounds, use cases and scenarios involving the app
Noise: Reviews that do not belong to any other categories.
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: Reviews that report a problem, such as faulty behavior of the application or of a specific feature
Feature strength: Reviews that identify an aspect about an existing feature that users are satisfied with
Feature shortcoming: Reviews that identify an aspect about an existing feature that users are unsatisfied with
User request: Reviews that ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature
Praise: Reviews where users express general appreciation with the application. It focuses on general judgment, unlike feature strength which emphasizes on the positive feedback about a specific feature
Complaint: Reviews where users express general dissatisfaction with the application. In contrast with feature shortcoming which focuses on the negative feedback about a specific existing feature, general complaint concentrates on general judgment
Usage scenario: Reviews where users describe workarounds, use cases and scenarios involving the app
Noise: Reviews that do not belong to any other categories.
Does the author's intention in this app review relate to a Bug report or Feature strength or Feature shortcoming or User request or Praise or Complaint or Usage scenario or Noise?
review:  1 star Searches arent working correctly'
intention: '
Assistant:
You are a professional marketing specialist, advertisement analyser, writer, and graphic designer. You have been instructed to analyse the following advertisement, to discerningly assess to what extent does the advertisement successfully use specific persuasive techniques to appeal to an intended target audience. You must justify your analysis with specific references to relevant features of the advertisement.

Your structure for your detailed essay is as follows. You must write 700 words, with an introduction, three body paragraphs, and a conclusion. Your introduction will begin with a general statement about the purpose of adverting, then you identify the advertisement, then you describe briefly what the advertisement depicts, then you identify the target audience of the selected advertisement, then you provide your thesis statement that gives your opinion on how effective the ad is towards the target audience, then you outline the three main points that you will cover in your body paragraphs.

In your body paragraphs, describe and analyse two visual and one language feature. You must use examples and evidence to justify your claims.

In your conclusion, you are to summarise the key points regarding the advertisement, briefly restate how effective it was, and close with another general statement. 

Here is a detailed description of the print advertisement with the key features already provided for you: ‘VISUAL TECHNIQUES                                                                                                                                                                                                                                   LANGUAGE TECHNIQUES
-              Colour: Yellow represents joy
And happiness. Red represents

Passion and love.
-              Symbol
-              Ethos
-              Celebrity endorsement-Ash Barty
-              Size and Shape
-              Stereotype
-              Composition
-              Shiny sparkle around the red text box
-              All caps sans serif font for the text in the red box text saying ‘TASTES LIKE: A LIMITED-EDITION
-               BARTYMITE JAR for impact
-              Handwritten cursive style for the ‘Grab your LIMITED EDITION BARTYMITE jar today’ to add personal touch
-              Ash Barty’s signature
-              Ash Barty has her fist clenched
-              ‘Vegemite’ is replaced by ‘Bartymite’ to capitalise on celebrity fame
-              Tennis balls in the background to make it less flat and to add more character
-              Small disclaimer in the corner informing customers Vegemite has vitamins
-              Indesign style design with gradiented tennis balls in the background. Could be interpreted as unprofessional and standard.
-              Jar positioned in the top right quadrant of the rule of thirds
-              Whereas, Ash Barty portioned in the bottom left quadrant, contrasting the top right product pavement
-               Signature of Ash Barty
-              False advertising- Vegemite contains Vitamin b1, b2, b3, because ash Barty’s last name begins with B’
" PLONGEZ AU COEUR DES GHOST AFFAIRS, OU FAUX SEMBLANTS ET INJUSTICES FONT LA LOI..." Explain please and make it a detailed breakdown line by line segment by segment part by part in a detailed way of the whole paragraph
write professionally "Review each account for micro laundering activity and note down the accounts that do."
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: Really guys? https://t.co/VhtUdAsIEF'
intention: '
Assistant:
file upload restriction vulnerabilities prevention in asp.net
Write dialogue from a scene from the animated teen series “Jane” where in the special needs school ninth grader Lux (who has single-sided deafness (meaning she can hear out of one ear, but the other ear is deaf) selective mutism (meaning she can speak but doesn’t speak in certain situations, places or people, thus make sure she speaks but not all the time) and autism) loses her CROS hearing aid
3.6 | Species distribution modelling
The lowest AICc was assigned to the LQHP 1 model (Figure S5 and
Table S7), and this was chosen to generate the projections of species
distribution model. The distribution model accurately predicted the
distribution area under the curve values (mean ± SE: 0.951 ± 0.123,
Table S8), indicating a good performance of the predictive models.
The predicted current species distribution area was generally
similar to the actual known distribution area in China (Figure 1 and
Figure 5 and Figure S6). The overall suitable distribution areas of
all lineages shrank gradually from the LIG to LGM (Figure 5 and
Figure S6). The suitable distribution areas of the N1 lineage was indicated
to have reduced significantly, especially for the northwest
corner of the Sichuan Basin from the LGM to the present (Figure 5c
and Figure S6). The suitable distribution area of the N2 lineage was
indicated to have shrank in the south region from the LGM to the
present (Figure 5d and Figure S6). In contrast, several other regions
including the southern Hengduan Mountains (sites for lineage W;
Figure 5e and Figure S6), Yunnan-Guizhou Plateau (sites for lineage
C; Figure 5b and Figure S6) and Wuling Mountains (sites for lineage
E; Figure 5a and Figure S6) have reduced slightly in size from the
LGM to the present.
The MOP analyses demonstrated that past scenarios mostly
possess climates analogous to those in the current scenario in the
distribution areas of H. annectans (Figure S7). Most of the strict extrapolation
risk was present in the northern and eastern parts of the
distribution maps for each period (MH, LGM, and LIG; Figure S7).
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all].Doraemon.S15E18.I.Quit.Being.Doraemon.-.The.Case.of.Suneos.Kidnapping.480p.x264.DSNP.WEB-DL.Multi.Audio.mkv
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:

يا صاحبة الموسيقى الخلفية و تضحك تتعدى
Hi, I’m writing a story and I’d like you to flesh out one of its characters.

She will be one of the two main characters (the other main one is her husband). She’s a lovely person. She is:

- very intelligent and studious, inquisitive, not afraid of trying new things
- soft spoken, feminine and nurturing, especially towards her husband
- a romantically dominant partner. she is the one in charge in the relationship with her husband, but she does so in a feminine way
- she loves being revered and served by her husband, and treated like a princess
- quite gentle in some respects, but also knows the importance of emotions
- friendly in general, but very affectionate towards her husband
- loves laughing and fun, can be silly, doesn’t feel constrained by expectations to act serious all the time, yet still has an undeniable air of elegance and ladyness
- ambiverted, but slightly more introverted than extroverted. A sense of humour. a good sport
- a little bossy and possessive, can also be smothering towards her husband with her nurturing personality, which she is sometimes aware of but finds a little amusing

Her appearance is feminine, with long and wavy shiny light brown hair, soft but elegant and feminine features, and beautiful reddish lips. Her age is 25 years old. She is rising through the ranks of academia, and passed all of her university exams with top marks. She is a very romantic person, and has a strong desire for a beautiful and eternal love and connection (with her in charge)

Her fashion consists of dresses sundresses when it is warm, and cosy jumpers and cardigans and skirts when it is cold. She often wears knee high black heeled boots. She has a few (faux) leather jackets that she wears when she wants to look commanding.

Please write this up in a character sheet. Also, give her an elegant and ladylike name name.

Please make it detailed and describe her personality.
From the following input, generate a compact JSON response structured as follows:
{'kws':[{'kw':'[KEYWORD]','d':[{'dm':'[KEYWORD].io','p':[PRICE]},{'dm':'[KEYWORD].ai','p':[PRICE]},{'dm':'[KEYWORD].lab','p':[PRICE]},{'dm':'[KEYWORD].tech','p':[PRICE]}]}]}

### Guidelines:
1. Extract exactly 50 keywords, prioritizing proper nouns, project names, technologies, and companies from the input. If fewer than 50 keywords are present in the input, infer additional keywords based on the context.
2. Keywords must be specific and meaningful. Avoid overly generic terms (e.g., 'software', 'technology') and keywords resembling domain extensions (e.g., 'aihealth', 'drivetech').
3. Use compact keys to minimize response size:
   - 'kws': List of keywords.
   - 'kw': Keyword.
   - 'd': List of domains.
   - 'dm': Domain name.
   - 'p': Price.
4. Assign reasonable prices (in USD) for each domain based on relevance and keyword popularity.

### Input:
Dec 5, 2024 ... NVIDIA has been investing in Vietnam's technology ecosystem for the last eight years. The company is engaged with more than 100 Vietnamese ...
Dec 6, 2024 ... NVIDIA has acquired Inception member VinBrain, a Hanoi-based company that applies AI diagnostics to multimodal health data. While in Vietnam, ...
Apr 22, 2024 ... Vietnam's top tech firm FPT plans to build a $200 million artificial intelligence (AI) factory using Nvidia's graphics chips and software, ...
Dec 11, 2023 ... Investing $250 million in Vietnam so far, Nvidia has already partnered with several leading companies in the country to advance AI in cloud, ...
Dec 10, 2023 ... Nvidia, which has already invested $250 million in Vietnam, has so far partnered with leading tech companies to deploy AI in the cloud ...
Dec 11, 2023 ... Nvidia, one of the world's top chip manufacturers, is looking to establish a significant presence in Vietnam with a $250 million investment in the country.
5 days ago ... On December 5, NVIDIA signed a Memorandum of Understanding (MOU) with the Ministry of Planning and Investment to establish two cutting-edge AI ...
Dec 6, 2024 ... Vietnam and the chipmaker Nvidia have signed an agreement to establish an artificial intelligence (AI) research and development center in ...
Dec 5, 2024 ... Nvidia to provide technology to Viettel Group's AI data center · Jensen Huang also says Nvidia to acquire Vingroup's VinBrain.
Dec 5, 2024 ... On Thursday, Nvidia Corp (NASDAQ:NVDA) founder and chief Jensen Huang agreed to jointly open an artificial intelligence research and ...