Dataset Viewer
id
stringlengths 12
14
| query
stringlengths 489
660
| answer
stringclasses 6
values | text
stringlengths 5
176
| choices
sequence | gold
int64 0
5
|
|---|---|---|---|---|---|
multifineng0
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Deal summary Helen Oy / Infratek Finland Oy
Answer:
|
Finance
|
Deal summary Helen Oy / Infratek Finland Oy
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng1
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Deals
Answer:
|
Finance
|
Deals
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng2
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: PwC named a Major Player in the IDC MarketScape for Worldwide Intelligent Automation Services 2019
Answer:
|
Technology
|
PwC named a Major Player in the IDC MarketScape for Worldwide Intelligent Automation Services 2019
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1 |
multifineng3
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Proposal for digital services tax
Answer:
|
Tax & Accounting
|
Proposal for digital services tax
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng4
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Social Impact Lab
Answer:
|
Business & Management
|
Social Impact Lab
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng5
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: International Financial Reporting Standards (IFRS)
Answer:
|
Tax & Accounting
|
International Financial Reporting Standards (IFRS)
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng6
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Tax and legal news 4 November 2016
Answer:
|
Tax & Accounting
|
Tax and legal news 4 November 2016
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng7
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Financial Crime
Answer:
|
Government & Controls
|
Financial Crime
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 4 |
multifineng8
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Information Technologies Organisation, Process and Control Services
Answer:
|
Technology
|
Information Technologies Organisation, Process and Control Services
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1 |
multifineng9
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: PwC’s Global Artificial Intelligence Study: Sizing the prize
Answer:
|
Technology
|
PwC’s Global Artificial Intelligence Study: Sizing the prize
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1 |
multifineng10
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Information Technologies Transformation, Strategy and Governance Services
Answer:
|
Technology
|
Information Technologies Transformation, Strategy and Governance Services
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1 |
multifineng11
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Avoid Earnings Surprises after closing an M&A acquisition
Answer:
|
Finance
|
Avoid Earnings Surprises after closing an M&A acquisition
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng12
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Global Entertainment & Media Outlook 2018–2022
Answer:
|
Industry
|
Global Entertainment & Media Outlook 2018–2022
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng13
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Transcript: Tax bulletins summary / October 2019
Answer:
|
Tax & Accounting
|
Transcript: Tax bulletins summary / October 2019
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng14
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Global study on CEO trends indicates a significant uptick in CEOs forced out of office for ethical lapses
Answer:
|
Business & Management
|
Global study on CEO trends indicates a significant uptick in CEOs forced out of office for ethical lapses
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng15
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: It’s time for family businesses to seize the opportunity of gender balance: Renate de Lange, PwC
Answer:
|
Business & Management
|
It’s time for family businesses to seize the opportunity of gender balance: Renate de Lange, PwC
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng16
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Emerging Trends in Real Estate: Europe 2017
Answer:
|
Industry
|
Emerging Trends in Real Estate: Europe 2017
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng17
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: PwC’s M&A team ranked as Poland’s deals leader by Mergermarket
Answer:
|
Finance
|
PwC’s M&A team ranked as Poland’s deals leader by Mergermarket
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng18
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Healthcare revenue cycles remain complex
Answer:
|
Industry
|
Healthcare revenue cycles remain complex
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng19
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Cyber risk considerations and impacts
Answer:
|
Technology
|
Cyber risk considerations and impacts
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1 |
multifineng20
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: European Council conclusions: Fairness, efficiency, and conforming to the digitalization as key areas of European tax policy
Answer:
|
Tax & Accounting
|
European Council conclusions: Fairness, efficiency, and conforming to the digitalization as key areas of European tax policy
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng21
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: People and organisation
Answer:
|
Business & Management
|
People and organisation
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng22
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Key findings from the global Oil and Gas industry
Answer:
|
Industry
|
Key findings from the global Oil and Gas industry
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng23
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Environmental stewardship
Answer:
|
Business & Management
|
Environmental stewardship
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng24
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Q&A What is blockchain?
Answer:
|
Technology
|
Q&A What is blockchain?
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1 |
multifineng25
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Winners of the Healthy Sense Award have been announced
Answer:
|
Industry
|
Winners of the Healthy Sense Award have been announced
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng26
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: I Fintech and you? and you? and you? and you?
Answer:
|
Finance
|
I Fintech and you? and you? and you? and you?
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng27
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: SAP Centre of Excellence
Answer:
|
Technology
|
SAP Centre of Excellence
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1 |
multifineng28
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: IFRS news, August 2017
Answer:
|
Tax & Accounting
|
IFRS news, August 2017
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng29
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: PwC to drive security and compliance with new cybersecurity suite
Answer:
|
Technology
|
PwC to drive security and compliance with new cybersecurity suite
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1 |
multifineng30
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: The New Class of Digital Leaders
Answer:
|
Technology
|
The New Class of Digital Leaders
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1 |
multifineng31
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Healthcare providers must create agile digital architecture
Answer:
|
Industry
|
Healthcare providers must create agile digital architecture
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng32
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: COVID-19
Answer:
|
Industry
|
COVID-19
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng33
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Type of deal: Debt advisory Sector: Energy
Answer:
|
Industry
|
Type of deal: Debt advisory Sector: Energy
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng34
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Linking ESG to financing and investment activities
Answer:
|
Business & Management
|
Linking ESG to financing and investment activities
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng35
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Government/Public Services
Answer:
|
Government & Controls
|
Government/Public Services
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 4 |
multifineng36
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Ethics & Compliance Management
Answer:
|
Government & Controls
|
Ethics & Compliance Management
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 4 |
multifineng37
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Hospitality Industry
Answer:
|
Industry
|
Hospitality Industry
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng38
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Greek real estate taxation: a brief summary 2019
Answer:
|
Industry
|
Greek real estate taxation: a brief summary 2019
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng39
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Tax and legal news 4 May 2017
Answer:
|
Tax & Accounting
|
Tax and legal news 4 May 2017
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng40
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Digital Forensics and Data Analytics Solutions
Answer:
|
Government & Controls
|
Digital Forensics and Data Analytics Solutions
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 4 |
multifineng41
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Family, country, and community': Giving something back in South Africa: Global Family Business Survey 2016: PwC
Answer:
|
Business & Management
|
Family, country, and community': Giving something back in South Africa: Global Family Business Survey 2016: PwC
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng42
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Tax and legal news, April 2019
Answer:
|
Tax & Accounting
|
Tax and legal news, April 2019
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng43
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: IT Applications and Software Consulting - not as straightforward as it used to be
Answer:
|
Technology
|
IT Applications and Software Consulting - not as straightforward as it used to be
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1 |
multifineng44
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Worldwide Tax Summaries 2018/2019
Answer:
|
Tax & Accounting
|
Worldwide Tax Summaries 2018/2019
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng45
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Forensic Services
Answer:
|
Government & Controls
|
Forensic Services
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 4 |
multifineng46
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Deal summary Coreplast Laitila Oy
Answer:
|
Finance
|
Deal summary Coreplast Laitila Oy
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng47
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Cédric Nidecker: Intrapreneur to the rescue
Answer:
|
Business & Management
|
Cédric Nidecker: Intrapreneur to the rescue
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng48
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: PwC at Mobile World Congress 2018
Answer:
|
Technology
|
PwC at Mobile World Congress 2018
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1 |
multifineng49
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Consumers ready to embrace AI and robots for their healthcare needs
Answer:
|
Industry
|
Consumers ready to embrace AI and robots for their healthcare needs
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng50
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: FinTech’s growing influence on Financial Services
Answer:
|
Finance
|
FinTech’s growing influence on Financial Services
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng51
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Tax Services
Answer:
|
Tax & Accounting
|
Tax Services
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng52
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: PwC to double CEE Cybersecurity team to 500
Answer:
|
Technology
|
PwC to double CEE Cybersecurity team to 500
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1 |
multifineng53
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Total Retail 2017
Answer:
|
Industry
|
Total Retail 2017
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng54
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Transaction Services
Answer:
|
Finance
|
Transaction Services
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng55
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Changes to tax reporting digitalisation landscape during COVID-19
Answer:
|
Tax & Accounting
|
Changes to tax reporting digitalisation landscape during COVID-19
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng56
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Deal summary Family Piri / Ruukki Construction
Answer:
|
Finance
|
Deal summary Family Piri / Ruukki Construction
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng57
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: 2019 Risk in Review Study
Answer:
|
Government & Controls
|
2019 Risk in Review Study
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 4 |
multifineng58
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: The sweet smell of success: Innovation and internationalisation in France: Global Family Business Survey 2016: PwC
Answer:
|
Business & Management
|
The sweet smell of success: Innovation and internationalisation in France: Global Family Business Survey 2016: PwC
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng59
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Deal summary Mankkaan Taksi Oy / Cabonline Group
Answer:
|
Finance
|
Deal summary Mankkaan Taksi Oy / Cabonline Group
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng60
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: The World in 2050
Answer:
|
Government & Controls
|
The World in 2050
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 4 |
multifineng61
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: IFRS disclosure checklist 2012
Answer:
|
Tax & Accounting
|
IFRS disclosure checklist 2012
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng62
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Deal summary Caverion Corporation / Huurre Group Oy
Answer:
|
Finance
|
Deal summary Caverion Corporation / Huurre Group Oy
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng63
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: New Chief Data Scientist for PwC Finland
Answer:
|
Technology
|
New Chief Data Scientist for PwC Finland
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1 |
multifineng64
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Tax Flash: Incentives for the establishment of Shared Services Centers in Greece
Answer:
|
Tax & Accounting
|
Tax Flash: Incentives for the establishment of Shared Services Centers in Greece
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng65
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: European cities hotel forecast
Answer:
|
Industry
|
European cities hotel forecast
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng66
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: The Global State of Information Security Survey: 2017
Answer:
|
Technology
|
The Global State of Information Security Survey: 2017
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1 |
multifineng67
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Audit and Assurance Services
Answer:
|
Tax & Accounting
|
Audit and Assurance Services
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng68
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Tech breakthroughs megatrend: how to prepare for its impact
Answer:
|
Technology
|
Tech breakthroughs megatrend: how to prepare for its impact
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1 |
multifineng69
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Fit for Growth - Strategy&
Answer:
|
Business & Management
|
Fit for Growth - Strategy&
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng70
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Global wage projections to 2030
Answer:
|
Government & Controls
|
Global wage projections to 2030
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 4 |
multifineng71
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Diploma in IFRS by ACCA
Answer:
|
Tax & Accounting
|
Diploma in IFRS by ACCA
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng72
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Asset Management 2020 – A Brave New World
Answer:
|
Finance
|
Asset Management 2020 – A Brave New World
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng73
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: The Healthy Sense Award: applications are now open
Answer:
|
Industry
|
The Healthy Sense Award: applications are now open
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng74
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Compliance in 2025 - Resilience: A journal of strategy and risk
Answer:
|
Government & Controls
|
Compliance in 2025 - Resilience: A journal of strategy and risk
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 4 |
multifineng75
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Tax and legal news, November 2018
Answer:
|
Tax & Accounting
|
Tax and legal news, November 2018
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng76
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Commercial and market due diligence
Answer:
|
Finance
|
Commercial and market due diligence
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng77
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Retail tax in Poland | Tax provision is legal
Answer:
|
Industry
|
Retail tax in Poland | Tax provision is legal
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng78
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Human rights statement
Answer:
|
Business & Management
|
Human rights statement
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng79
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Innovation and entrepreneurship
Answer:
|
Business & Management
|
Innovation and entrepreneurship
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng80
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: PwC's CXO Survey 2018
Answer:
|
Business & Management
|
PwC's CXO Survey 2018
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng81
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Emerging Markets: Driving the payments transformation
Answer:
|
Finance
|
Emerging Markets: Driving the payments transformation
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng82
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: From Przemyśl to premieres: Growing a global brand in Poland: Global Family Business Survey 2016: PwC
Answer:
|
Business & Management
|
From Przemyśl to premieres: Growing a global brand in Poland: Global Family Business Survey 2016: PwC
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng83
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Companies shifting more R&D spending away from physical products to software and services: 2016 Global Innovation 1000 Study
Answer:
|
Business & Management
|
Companies shifting more R&D spending away from physical products to software and services: 2016 Global Innovation 1000 Study
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng84
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Deal summary Europcar franchises in Finland and Norway / Europcar Mobility Group SA
Answer:
|
Finance
|
Deal summary Europcar franchises in Finland and Norway / Europcar Mobility Group SA
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng85
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Creating value beyond the deal: Private Equity
Answer:
|
Finance
|
Creating value beyond the deal: Private Equity
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng86
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Due diligence
Answer:
|
Finance
|
Due diligence
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng87
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Deal summary Procuritas AB / Procuritas AB
Answer:
|
Finance
|
Deal summary Procuritas AB / Procuritas AB
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng88
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Central Bank Digital Currency
Answer:
|
Finance
|
Central Bank Digital Currency
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng89
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: BEPS Documentation Rules Enacted in Turkey
Answer:
|
Tax & Accounting
|
BEPS Documentation Rules Enacted in Turkey
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng90
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Work in the European Union – taxes and contributions
Answer:
|
Business & Management
|
Work in the European Union – taxes and contributions
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng91
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Virtual reality
Answer:
|
Technology
|
Virtual reality
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1 |
multifineng92
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Tax and legal news 10 March 2016
Answer:
|
Tax & Accounting
|
Tax and legal news 10 March 2016
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng93
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Newspaper publishing
Answer:
|
Industry
|
Newspaper publishing
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng94
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: 20th CEO Survey: Key findings from the banking and capital markets industry
Answer:
|
Finance
|
20th CEO Survey: Key findings from the banking and capital markets industry
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng95
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Felix Kroschke: Transportation transformer
Answer:
|
Industry
|
Felix Kroschke: Transportation transformer
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng96
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Business Analytics
Answer:
|
Technology
|
Business Analytics
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1 |
multifineng97
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Retail and consumer
Answer:
|
Industry
|
Retail and consumer
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng98
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: Reputation Management
Answer:
|
Business & Management
|
Reputation Management
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng99
|
In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline.
Text: ‘A sense of responsibility’: Family, community and nation in Oman: Global Family Business Survey 2016: PwC
Answer:
|
Business & Management
|
‘A sense of responsibility’: Family, community and nation in Oman: Global Family Business Survey 2016: PwC
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
End of preview. Expand
in Data Studio
- Downloads last month
- 46