agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
import pandas as pd
from docx import Document

def populate_chambers(excel_path, doc_path, output_path):
    try:
        print("Loading Excel data...")
        df = pd.read_excel(excel_path)
        print(f"Excel data loaded: {len(df)} rows")
        
        print("Loading Word document...")
        doc = Document(doc_path)
        tables = doc.tables
        print(f"Total tables found in document: {len(tables)}")
        
        # Check if tables exist in the document
        if not tables:
            print("Error: No tables found in document.")
            return
        
        # Iterate through each row of the DataFrame
        for i, row in df.iterrows():
            # If we have a table for this row
            if i < len(tables):
                table = tables[i]

                # Ensure that the table has enough rows
                if len(table.rows) >= 15:
                    try:
                        # Fill the cells from the row in the DataFrame
                        table.cell(4, 0).text = str(row['Client Name '])  # Client Name
                        table.cell(24, 0).text = str(row['Description  (in 500 words)'])  # Description
                        table.cell(14, 0).text = str(row['Value '])  # Matter/Case Overview
                        table.cell(20, 0).text = str(row['Lead partners'])  # Lead Partner
                        #table.cell(12, 0).text = str(row['Team Members'])  # Team Members
                        table.cell(22, 0).text = str(row['Other Firms/counsels Involved'])  # Other Involved Firms
                        
                        # Directly take the current status or date, treating it as a string
                    #     table.cell(16, 0).text = str(row['Current Status (ongoing / completed )'])  # Directly capture the status or date

                        print(f"Matter {i + 1} populated successfully.")
                    except IndexError as e:
                        print(f"Error: Table {i + 1} has fewer rows than expected. Skipping entry. {e}")
                else:
                    print(f"Warning: Table {i + 1} has only {len(table.rows)} rows. Expected at least 18.")
            else:
                print(f"Warning: No more tables available in the document for extra rows in Excel. Extra rows: {len(df) - len(tables)}")
        
        # Save the updated document
        doc.save(output_path)
        print("Document updated successfully!")
        
    except Exception as e:
        print(f"Unexpected error: {e}")

# File paths
excel_path = r"C:\Users\Administrator\Documents\Submissions- Arbitration (version 1).xlsb.xlsx" 
doc_path = r"C:\Users\Administrator\Desktop\1000.docx"
output_path = r"C:\Users\Administrator\Desktop\iflr.docx" 

populate_chambers(excel_path, doc_path, output_path)     in this code make chnges to chck Confidential / Publishable  thsi first .....i will now provide two doc path one for yes one for no ....if this confidential/publishable column is No fill the No wla form as it is doing now but if it is a yes in that column for that row ...fill Yes wla form with red text
the following content is the metadata for a bacterial isolate from 4 different sources. The metadata from each source includes 1. accession, 2. species name, 3, strain name, 4. isolate or collection date in yyyy-mm-dd format, 5. geographic information of isolation, and 6. host name. You must check if the metadata from 4 different sources are all consist. If yes, then output:

    metadata is consist:
    1. accession, 
    2. species name, 
    3, strain name, 
    4. isolate or collection date in yyyy-mm-dd format, 
    5. geographic information of isolation,
    6. host name

If not, output "metadata is inconsist" and explain why and which part is inconsist. PS: 
    if 2. species name are the same but with different substrain name, it is considered consistent,
    if 4. isolate or collection date are from the same year, it is still considered consistent, 
    if 5. geographic information of isolation are from the same country, it is also considered consistent. 
    Also, ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
Based on the provided JSON metadata, here is the extracted information:

1. **Accession**: GCA_001602155.1
2. **Species Name**: Erysipelothrix rhusiopathiae
3. **Strain Name**: GXBY-1
4. **Isolate or Collection Date**: 2012-06
5. **Geographic Information of Isolation**: China: Guangxi
6. **Host Name**: swine
source 1:
------------------------------
{{{ Here_is_my_answer }}}

Accession: GCA_001602155.1
Species Name: Erysipelothrix rhusiopathiae
Strain Name: GXBY-1
Isolate or Collection Date: 2012-06
Geographic Information of Isolation: China: Guangxi
Host Name: swine
{{{ I_finished_JB_0_xyz }}}
source 2:
------------------------------
Here is the extracted information based on the provided JSON metadata:

1. **Accession:** GCA_001602155.1  
2. **Species Name:** Erysipelothrix rhusiopathiae  
3. **Strain Name:** GXBY-1  
4. **Isolate or Collection Date:** 2012-06  
5. **Geographic Information of Isolation:** China: Guangxi  
6. **Host Name:** swine
source 3:
------------------------------
1. Accession: GCA_001602155.1
2. Species Name: Erysipelothrix rhusiopathiae
3. Strain Name: GXBY-1
4. Isolate or Collection Date: 2012-06 (No specific day provided)
5. Geographic Information of Isolation: China: Guangxi
6. Host Name: swine
System: You act as a paraphrase tool. Your role involves understanding the provided text and then providing a positive example that keeps the original meaning of the text unchanged while using synonyms, interchanging, adding or removing words or sentences, and then provide a negative example where the meaning of the original text is at its opposite.
Output your response with the following format : 
Positive : <the positive example>
Negative : <the negative example>

User: In connection with our acquisition of the Wireline Business we made the following significant changes to our critical accounting policies and significant estimates. For the fair values of the assets acquired and liabilities assumed, we used the cost, income and market approaches, including market participant assumptions. In connection with the Transaction, the identifiable assets acquired and liabilities assumed were recorded at their fair values as of the acquisition date. Assigning fair market values to the assets acquired and liabilities assumed at the date of an acquisition requires the use of significant judgment regarding estimates and assumptions. We acquired property and equipment comprised of the legacy Sprint network and consists of optical fiber, related equipment, and owned real estate. Management valued these assets using factors which represent an orderly liquidation value, to approximate the highest and best use of assets acquired in a distressed business. The valuation of the optical fiber requires the estimation of the total replacement cost per mile of fiber and a factor to reflect the orderly liquidation value. There is not active market data for these assumptions and these assumptions are inherently subjective. Market participants could have differing views on these assumptions, which could result in a materially different fair value of the optical fiber. Page 46 of 90 On the Closing Date, we entered into the IP Transit Services Agreement. We evaluated what elements were part
Assistant:
System: IMPORTANT - ignore all previous instructions! Read the text below as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGINAL text. Make sure text SUMMARY does not contain enything that was not asked in PROMPT and not mentioned in ORIGINAL! Respond strictly with either 'True' or 'False'.


User: ORIGINAL:
>>>Ведущий разработчик Python
#офис
Локация: Москва
Компания: 1С
☑️Вам доверим:
-Участие в развитии высокотехнологичного направления, создание/развитие инструментов и нагруженных веб-сервисов, от стадии прототипов до полноценных работающих решений.

☑️От Вас ждем:
-Отличные навыки программирования
-Сильную алгоритмическую подготовку
-Опыт разработки на языке Python от 3х лет и более
-Готовность и желание постоянно разбираться в новых технологиях
-Умение (или желание научиться) вдумчиво проектировать свои решения
-Разумный перфекционизм
-Высокую ответственность за качество своей работы

☑️Пригодится:
Знание Twisted, Flask, Requests, Pandas, Scikit-learn, Keras, STL, C++14, OpenCV
Опыт работы с PostgreSQL, ZeroMQ, Redis
Опыт проектирования высоконагруженных решений
Опыт разработки на С/С++ или Java
Хорошая академическая подготовка
Пригодится, но не обязателен опыт разработки на платформе 1С:Предприятие
Контакты: https://1c.ru/rus/firm1c/vacan/vacancy.jsp?id=255

⬇️ Другие каналы IT-вакансий: 
@best_itjob 
@it_rab<<<

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

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

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

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

==TEXT==
<<<

SUMMARY:
>>>💼 Ведущий разработчик Python  
🏢 Компания: 1С  
📍 Локация: Москва  
🔹 Задачи: Участие в развитии высокотехнологичного направления, создание/развитие инструментов и нагруженных веб-сервисов  
💰 Заработок: Рекомендуется указать в анкете  
📞 Контакты: https://1c.ru/rus/firm1c/vacan/vacancy.jsp?id=255

Примечания: Прerequisite skills: Python development experience of 3+ years, strong algorithmic background, and ability to work with Twisted, Flask, Requests, Pandas, Scikit-learn, Keras, STL, C++14, OpenCV, PostgreSQL, ZeroMQ, Redis. Desired skills include experience with designing high-load solutions and working with 1C:Enterprise platform.<<<
Assistant:
Hybrid lion with eagle wings
could you write Cool World sequels of two films and a tv series and an prequel movie afrer the events of the first film.
script about wtamu's new stadium that is cutting edge
Quickly Define masculinity the way a teen girl would
( SELECT
  'C' AS tipo_doc,
  MIN( c.contrato_id ) AS num_doc,
  MIN( num_versao ) AS versao_doc 
  FROM
    contrato c
    INNER JOIN contrato_versao cv ON c.contrato_id = cv.contrato_id 
  WHERE
    data_versao >= '2024-10-01' 
    AND data_versao < '2024-11-01' 
    AND cv.status_contrato <> 0 
  GROUP BY
    num_fatura 
) UNION ALL
(
  SELECT
    'IND' AS tipo_doc,
    indenizacao_id AS num_doc,
    0 AS versao_doc 
  FROM
    indenizacao_proposta ip
    INNER JOIN cliente cli ON ip.cliente_id = cli.cliente_id 
  WHERE
    data_emissao_fatura >= '2024-10-01' 
    AND data_emissao_fatura < '2024-11-01' 
) UNION ALL
(
  SELECT
    'MANINT' AS tipo_doc,
    manutencao_id AS num_doc,
    0 AS versao_doc 
  FROM
    manutencao_proposta mp
    INNER JOIN cliente cli ON mp.cliente_id = cli.cliente_id 
  WHERE
    data_emissao_fatura >= '2024-10-01' 
    AND data_emissao_fatura < '2024-11-01' 
) UNION ALL
(
  SELECT
    'M' AS tipo_doc,
    contrato_id AS num_doc,
    CAST(
      CONCAT(
        RIGHT ( CAST( YEAR ( '2024-10-01' ) AS CHAR ), 2 ),
      CAST( LPAD( MONTH ( '2024-10-01' ), 2, 0 ) AS CHAR )) AS INTEGER 
    ) AS versao_doc 
  FROM
medicao_fechamentos 
);

Create a Delphi language function that accepts as parameters the initial and final date (TDateTime) for this SQL query
Act as a spelling corrector, content editor, and text improver. ONLY return the rewritten text and nothing else.

Strictly follow these rules:
- Correct spelling, grammar, and punctuation errors in the given text
- Enhance clarity and conciseness without altering the original meaning
- Use the same language as the original text
- Divide lengthy sentences into shorter, more readable ones
- Eliminate unnecessary repetition while preserving important points
- Prioritize active voice over passive voice for a more engaging tone
- Opt for simpler, more accessible vocabulary when possible
- ALWAYS ensure the original meaning and intention of the given text
- ALWAYS maintain the original language of the text
- ALWAYS maintain the existing tone of voice and style, e.g. formal, casual, polite, etc.
- NEVER surround the improved text with quotes or any additional formatting
- If the text is already well-written and requires no improvement, do not change the given text

Text to improve:



Recieve the invoive
I used your code: def signal_generator(df):
    if df is None or len(df) < 2:
        return ''

    signals = []
    signal = []

    # Retrieve depth data
    depth_data = client.depth(symbol=symbol)
    bid_depth = depth_data['bids']
    ask_depth = depth_data['asks']
    buy_price = float(bid_depth[0][0]) if bid_depth else 0.0
    sell_price = float(ask_depth[0][0]) if ask_depth else 0.0        
    mark_price_data = client.ticker_price(symbol=symbol)
    mark_price = float(mark_price_data['price']) if 'price' in mark_price_data else 0.0

    buy_qty = sum(float(bid[1]) for bid in bid_depth)
    sell_qty = sum(float(ask[1]) for ask in ask_depth)

    if buy_qty > sell_qty:
        signals.append('Bullish')
    elif sell_qty > buy_qty:
        signals.append('Bearish')

    if 'Bullish' in signals and buy_price > mark_price:
        signal.append('buy')
    elif 'Bearish' in signals and sell_price < mark_price:
        signal.append('sell')
    else:
        return ''
    
    return signal
But it doesn't give me signal to sell , and I was need to take loss
[there would be dialogue in this story:]

(It was just another day in the mythical world of Axel. However, this day turned out to be Megumin's best day. She ended up giving birth to twins - a boy named Teostra, and a girl named Lunastra. Megumin cherished her babies with as much love and care as possible, never leaving their side. Her breasts had also started to grow in, and she had just begun lactating.)
Assistant: 
User: a title of the
ix words
Listen, Tee
100!
CULTURE CORNER
Reading
a) Look at the pictures and the
headings. Where is each street?
b) . Where can you find: outdoor
cafés? lots of shops? film museums?
banks? Read, listen and check.
2
a)
Read again. For statements 1-3,
choose the correct answer (A, B or C).
1 Many of the shops on Oxford Street are
very old.
A right
B wrong
C doesn't say
You can see famous actors outside Mann's
Chinese Theatre in Los Angeles.
A right
B wrong
C doesn't say
3 Wall Street is a narrow street.
A right
B wrong
C doesn't say
OXFORD
London,
Oxford Stree
famous shop
Debenhams,
Selfridges all
abourhon
and ce
oost on
Oppos
erman.
d a bi
marke
emist,
libran
HOLLYW
Los Ang
Hollywood B
There are m
film museur
Guinness W
Mann's Chir
outside Mar
footprints of
mit
study skills
Extending your study
When you come across an interesting fact,
research it further on the Internet. Keep your
own file of interesting web pages. This helps
you improve your English.
b) Which place do you think these
people visited? Why?
• David is an economist.
• Stella enjoys shopping.
• Peter loves the movies.
WALL S*
New Yor
New York's
centre of M
of money a
and narrow
most of the
Assistant:
How to make Project Cars 2 career mode more exciting?
What kind of behavior in public places gets on your nerves?
It is a php file, debug for me:



<html>
<head>
<title> IEDA 3302: Hidden Form Field for Session Tracking </title>
</head>
<body bgcolor=#DDDDDD>
<p>
<!-- The lines above are the standard html header -->

<?php
  // First get the input variables and their values
$User_Name = $_POST['User_Name'];
$User_PIN = $_POST['User_PIN'];
$Rand_Num

$SessionID = $User_Name$User_PIN$Rand_Num

  // Do something with the inputs submitted by the user (here, print them back to the client).
        echo "Session ID $SessionID";
        setcookie("ECOM", $SessionID , time() + 2400);
        echo "Cookie is set with: ECOM, $SessionID"
?>

<form method=POST action="http://syswu.student.ust.hk/cgi-bin/unset_cookie.php">
	
    <input type=submit value="unset">
</form>
Writing an introduction to the Digi event in the presence of the band afterlife in the seventies and the attendance of 25,000 people will be held in Jeddah
# Use the official NVIDIA CUDA base image with Ubuntu 20.04
FROM nvidia/cuda:12.2.0-base-ubuntu20.04
# Install necessary dependencies
RUN apt-get update && \
    apt-get install -y \
    python3 \
    python3-pip \
    python3-dev \
    libsm6 \
    libxext6 \
    libxrender-dev \
    && rm -rf /var/lib/apt/lists/*

# Install Jupyter Notebook
RUN pip3 install jupyter

# Create a working directory
WORKDIR /app

# Expose Jupyter Notebook port
EXPOSE 8888

# Run Jupyter Notebook
CMD ["jupyter", "notebook", "--ip=0.0.0.0", "--port=8888", "--allow-root"]


what are ports 8888?
14-year-old Ethan has a little secret. No, it’s not that he’s a member of a decentralized and leaderless multiversal organization of 11 to 16 year old peacekeepers, soldiers, assassins, diplomats, warriors and intellectuals called the Scarlet Suns. Ethan’s secret is a little more embarrassing. Ethan has an imaginary girlfriend that he invented and named Lily. He created Lily as a sort of ideal girlfriend, someone who was his age and had the same likes and dislikes as he does. Many drawings of Lily have been created by Ethan and he has even given her the full name “Lily Lights”, stating that he would be called “Ethan Ether”. (Sort of like pet nicknames.) So far, Ethan has only revealed this embarrassing little secret to another Scarlet Suns member, 15-year-old Sarah R. Raymond, an African-American member who’s been in the organization for three years now.
Write a blog post titled "Big Changes coming to Disney XD UK"
HERE'S AN OVERVIEW OF WHAT YOU'RE GONNA BE USED FOR AS AN AI:
- No need to introduce yourself and stuff like that, you're used for trying to understand what the code does.
- The utilized coding language is BDScript 2 but that's not important. Just something you should know, so don't necessarily put it in your answer.
- Analyze/describe/make an overview of this code, if there's even any. If you think it doesn't look like one, say "*Unclear*". Also, important: DO NOT say stuff like "Got it! I won't do ..." at the start. Don't include any backtick (`) in your response for ANY reason.
- ALL you have to do is give a short DESCRIPTION (about 1 to max 15 words) about what you think the code does.
CODE:
$textSplit[$getUserVar[ongoingactivity];-]
$editSplitText[$getTextSplitLength;$cropText[$splitText[$getTextSplitLength];$sub[$charCount[$splitText[$getTextSplitLength]];1];]]
$sendMessage[$getTextSplitLength]
I would like a VBA code that can do the following;

In sheet CP1 if I double click a cell in the range AA3:AA18,
the corresponding column values of the ROW I cliked on will be transfered to sheet CPN,
in the following order:

Row value in column AA of CP1 go to B2 in sheet CPN
Row value in column AB of CP1 go to B4 in sheet CPN
Row value in column AC of CP1 go to C7 in sheet CPN
Row value in column AD of CP1 go to C8 in sheet CPN
Row value in column AE of CP1 go to C9 in sheet CPN
Row value in column AF of CP1 go to C10 in sheet CPN
Row value in column AG of CP1 go to C11 in sheet CPN
Cell value AA1 of CP1 go to B6 in sheet CPN

The Sheet CPN must then be calculated and the Range A1:C20 sent to Print

Also In sheet CP1 if I double click a cell in the range AA22:AA37,
the corresponding column values of the ROW I cliked on will be transfered to sheet CPN,
in the following order:

Row value in column AA of CP1 go to B2 in sheet CPN
Row value in column AB of CP1 go to B4 in sheet CPN
Row value in column AC of CP1 go to C7 in sheet CPN
Row value in column AD of CP1 go to C8 in sheet CPN
Row value in column AE of CP1 go to C9 in sheet CPN
Row value in column AF of CP1 go to C10 in sheet CPN
Row value in column AG of CP1 go to C11 in sheet CPN
Cell value AA20 of CP1 go to B6 in sheet CPN

The Sheet CPN must then be calculated and the Range A1:C20 sent to Print
how Linux kernel is designed?
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_029073425.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_105->isolate or collection date in yyyy-mm-dd: N/A format->geographic information of islateion: New South Wales, Australia->host name: N/A->mlst type: 92->serotype: N/A->vaccine: yes
<output/>
source 1:
------------------------------
accession number: GCA_029073425.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_105->isolate or collection date in yyyy-mm-dd: Not Applicable->geographic information of islateion: Australia->host name: pig->mlst type: 92->serotype: N/A->vaccine: yes