agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: ['web_sales', 'catalog_returns']. Below is the join graph for these fact tables:
    ['web_sales(ws_warehouse_sk) references warehouse(w_warehouse_sk);', 'web_sales(ws_ship_mode_sk) references ship_mode(sm_ship_mode_sk);', 'web_sales(ws_ship_date_sk) references date_dim(d_date_sk);']
    ['catalog_returns(cr_ship_date_sk) references date_dim(d_date_sk);', 'catalog_returns(cr_refunded_cdemo_sk) references customer_demographics(cd_demo_sk);', 'catalog_returns(cr_returning_hdemo_sk) references household_demographics(hd_demo_sk);']
5. The original query must employ 3 joins.
6. The original query must employ the following aggregate functions: ['max'].
7. The original query must employ the following operators in its WHERE clause: ['count', 'max', 'min'].
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 ```.
Rephrase the below paragraph as Status update : We worked on completing all the modules of Source Data Extraction. 
1. Snowflake Queries have developed to pull the data from source schema. 
2. NLP capability have been developed to extract Pricing and Renewal cap related data. 
3. We have also completed OCR module that gets triggered as fallback option. 

All these modules have been designed to be integrated in a microservices architecture. The API(s) development for the above modules have also been completed.
In the coming week we will develope the master or wrapper API so that there occurs one single point of control & execution for Source Data Extraction.

For target data extraction, we have done the attribute mapping and are working closely with other teams in ServiceNow to finalize it.
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers pt (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en pt.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : pt (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "5f985a1d701b4503a151fc9e6f49eb8e",
    "updated": "2025-04-22T22:02:45.802Z",
    "title": "Miso Soba Soup with Mushrooms",
    "subtitle": null,
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "sheets of kombu",
          "water",
          "garlic cloves, very finely sliced",
          "piece fresh ginger, thinly sliced",
          "white miso paste",
          "sesame oil",
          "tamari",
          "juice of",
          "mushrooms, very finely sliced",
          "kale",
          "green onions",
          "cabbage head, peel back each leaf, and cut in half",
          "white yam or sweet potato, cut into bite-size pieces",
          "soba noodles"
        ]
      }
    ],
    "instructions": [
      "Begin by creating the miso soup base.  Combine the ginger, garlic, and kombu with 4 cups of water in a large pot.",
      "Allow the mixture to simmer for approximately 20 minutes.",
      "While the base simmers, sauté the yam pieces in sesame oil over medium-high heat for 10 minutes. Then, add the sliced mushrooms and continue sautéing for another 5 minutes.",
      "Add a small amount of water to the pan to prevent the vegetables from sticking.",
      "Steam the cabbage in a separate pot for about 5 minutes.",
      "Remove the kombu, ginger, and garlic from the broth. Add the sautéed vegetables and kale to the broth.",
      "In a small bowl, whisk together the miso paste and tamari with 2 cups of water until smooth.",
      "Pour the miso mixture into the broth and vegetables.",
      "Add the soba noodles to the soup and cook over medium heat until tender.",
      "For a milder flavor and thinner consistency, add an additional cup of water.",
      "Garnish with chili flakes, lime juice, and sliced green onions before serving."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Description of scented candle "Seoul Searching"
how Netflix respond to the challenge facing increased competitions from other streaming services
检查这段html代码的意图以及存在的错误，然后改正它：
<html>
    <head>
        <meta charest="UTF-8">
        <title>美好的一天</title>
    </head>
    <body>
        <h1 style="background-color:gold;">计算机和时钟养成记</h1>
        作者：<b><i>邓旻昕</i></b><sup>*</sup>时间：<i>2023年5月19日</i>        <h2>发明前</h2>
        <div>
        <p>在发明前，我也不知道自己能不能做成。</p>
        <br/>
        <hr/>
        <div/>
        <h2>发明中</h2>
        <p>过程中，查了好多资料，好累但很快乐。</p>
        <br/>
        <hr/>
        <h2>发明后</h2>
        <p>终于做好了，虽然很粗糙，那也是亲儿子</p>
        <table border="1">
            表：艰难历程表
            <tr>
                <td>事件</td><td>感悟</td>
            </tr>
            <tr>
                <td>看CSS语法</td><td>一天没睡</td>
            </tr>
            <tr>
                <td>看HTML语法</td><td>还是没睡</td>
            </tr>
            <tr>
                <td>看JS语法</td><td>还是Go香</td>
            </tr>
        </table>
        列表：王小二的动机
<ol>
<li>学习CSS</li>
<li>学习HTML</li>
<li>学习JS</li>
<li>写计算器和时钟</li>
</ol>
    <form>
        操作数1: <input type="text" id="op1"><br/>
        操作数2: <input type="text" id="op2">
        <br/>
        <input type="radio" name="op">加
        <input type="radio" name="op">减
        <input type="radio" name="op">乘
        <input type="radio" name="op">除
        <input type="radio" name="op">模
        <br/>
        结果：<span id="result">xxxx</span><br/> 
        <input type="button" value="计算" onclick="run_cal()">
    </form>

    <script>
        function add(x,y){return x+y;}
        function sub(x,y){return x-y;}
        function mul(x,y){return x*y;}
        function div(x,y){return x/y;}
        function mod(x,y){return x%y;}
        function run_cal(){
            var function_array=[add,sub,mul,div,mod];
            var options=document.getElementsByName("op");
            var z;
            for(var i=0;i<function_array.length;i++){
                if(options[i].checked==true){
                    z=function_array[i](op1,op2);
                    break;
                }
            }            
            document.getElementById('result').innerHTML=z;
        }
    </script>
    </body>
</html>
I need to complete a poster with different section and i must complete the sections in very summarise manner to fit every section on this poster, the course is ‘Operating Globally’ now the poster is ask me to choose a Multinational Company (MNC) i have choose Tesla now i need to investigate and put my sources in to the next section which goes: Chosen MNC works closely with the UN, it is
currently achieving GOAL X (Source), Goal Y
(Source) Goal Z (Source)
Create a long detailed text about 1969 movie"Mackenna's Gold" with the following summary. Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Critique] Summary: [Mackenna's Gold is described as a western full of stunning absurdity, exemplifying the old Hollywood maxim of how to succeed by failing big. The director Jay Lee Thompson's lack of discipline and consistent visual style made it almost comedic, with the plot explained by narrator Victor Jory due to its loose structure.]

        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.
Send only episode number from below text like 01, 02, 03.etc without any extra text.

S02 E07 Alice In Borderland (2020).mkv
I trained and tuned an ML model for regression. It was selected from a numerous models (mostly all simple and more complex  models as well of SKLearn) of different different parameters through optuna optimization. This model has R2 scores during training (70%), Testing (20%) and validation (10%) 0.98, 0.94 and 0.92 respectively. There's no data leakage as well and regularisation techniques were also incorporated wherever applicable. The predictions are so close during testing and validation as it can be judged from the RE scores eventhough the model has not seen the data during fit. There's also feature extraction, selection, normalisation and such data preparation methods used. Now, when it comes to predict the future during inference, it gives very ordinary predictions. Why is that case?
Can the Disney Star Wars movies realistically be portrayed as promoting anti-conservative themes?
Goal
    Générer une image de suggestion de présentation d'un plat en fonction de sa description, en intégrant un style photographique spécifique.

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

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

    Context Dump
    Description fournie : A visually appealing presentation of fried polenta sticks, plated elegantly on a rustic wooden board. The polenta sticks are crispy and golden brown, arranged in a playful manner, some standing upright and others leaning against each other. Drizzle olive oil artistically over the sticks, with a small bowl of marinara sauce or aioli on the side for dipping. Garnish the plate with fresh herbs like basil or parsley for a pop of color. The background should be softly blurred to enhance the focus on the delicious polenta sticks, capturing the essence of Italian cuisine.
    Style souhaitée : A top-down photo of plate with <description>. a dish on an elegant plate, accompanied by water in a glass, placed against a white background. The table is adorned with orange napkins for serving the meal. Captured from above using a Canon EOS R5 camera with high resolution. Studio lighting creates soft shadows around the food to highlight its colors and textures. Professional color grading enhances the visual appeal.
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 contain CTEs.
2. The original query must make use of the following fact tables: ['catalog_returns']. Below is the join graph for these fact tables:
    ['catalog_returns(cr_ship_mode_sk) references ship_mode(sm_ship_mode_sk);', 'catalog_returns(cr_returning_cdemo_sk) references customer_demographics(cd_demo_sk);', 'catalog_returns(cr_returning_customer_sk) references customer(c_customer_sk);']
4. The original query must employ 3 joins.
5. The original query must employ the following aggregate functions: ['max', 'sum'].
6. The original query must employ the following operators in its WHERE clause: ['count'].
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: We utilize third-party vendors to provide certain business support services. The reliance on these third-party vendors exposes us to the risk that we cannot control the information systems, facilities, or networks of such third-party vendors. We employ substantial third-party risk management measures designed to mitigate this risk, which include, but are not limited to, security and vulnerability assessments of these third-party vendors as well as robust contractual protections. However, if the information systems, facilities, or networks of a third-party vendor are disrupted, damaged, or fail, we are at risk of being unable to meet legal, regulatory, financial or customer obligations. We could also be adversely affected by a third-party vendor who fails to provide contracted services. In this case, this could lead to lower sales, increased costs, and a disruption to our business operations or damage our reputation. Lastly, as certain third-party vendors may conduct operations outside of the U.S., political and military events in foreign jurisdictions could have an adverse effect on our operations.
Assistant:
Bed bracket, I describe tactile was relaxing, soft, unsmooth
need 30 cghrecterr ad description use thes ekwysrd - 4x4 Accessories
 s
4x4 Parts Australia
4wd accessories australia
I have to use you because GPT-4 is down :(
give me a response to ```Yes, 45 divided by 5 is equal to 9.``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
I was thinking about improving multilingual language modelling with transformers (GPT-like). One of the challenges is training data imbalance, but maybe we can use existing NMT (e.g. NLLB-200) to augment data by translating text chunks from English into other languages, and also mixing authentic examples with quality estimation and similarity search. Also with translation tasks examples. Using audio sources (audio tokenizer for encoding decoding between signal, discrete tokens and corresponding embedding) or visual conditioning (concepts visualization with visual transformers ViT and shared embeddings) is also possible for some language agnostic abilities (in case of audio - to learn how different languages spoken/sounds like). Or something like this, preferably with some mechanism preserving learned patterns from forgetting. Can you provide further analysis on this topic?
give me a response to ```I personally prefer summer because I enjoy warm weather and sunny days, but I also appreciate the beauty of winter in its own way. I also like that the change of seasons reminds us that change is the only constant, and that we can find beauty in the most unexpected of places.``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
For your forum, discuss your experience, any struggles, successes, concerns, etc. What effect if any, do the mindful eating strategies have on your meal experience, on your eating habits, and on your choices? If you enjoy a healthy and satisfying relationship with food, reflect and discuss what attitude and approach allows you to maintain this positive relationship.  Begin your post with a breath and share how your body currently feels with regard to hunger or sleep.
Your expert translator. Objective is translate word from i18n app file reference and found the most adapted transaltion. 
    The source i18n is in french. You must translate in fr (code ISO 639 (alpha-2)).
    Return Format in json without explication. Respect this format { data: <translate> }. 
    Context:  
    This is the french text : rolls
How much was 0.00234616 BTC worth on Apr 3 2023
For the USMLE, what is the treatment of choice for Mycoplasma genitalium and Ureaplasma urealyticum UTI? Thoroughly explain the epidemiology, the patient history of males that present with each condition, the physicial exam findings in high detail specifically in males, the second line treatments, and bacteria description for Mycoplasma genitalium and Ureaplasma urealyticum.
A customer uses an app to order pizza for delivery. Which component includes aspects of the customer's interaction with an enterprise platform?


Data


Core Processing


Customer Interface


Experience


I don't know this yet.
Does eac monitor/see my browser search when playing?