id
stringlengths 12
14
| query
stringlengths 489
660
| answer
stringclasses 6
values | text
stringlengths 5
176
| choices
list | gold
int64 0
5
|
|---|---|---|---|---|---|
multifineng200
|
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 Budget process as a business growth engine
Answer:
|
Business & Management
|
The Budget process as a business growth engine
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng201
|
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 Incentive Services Department
Answer:
|
Government & Controls
|
Government Incentive Services Department
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 4
|
multifineng202
|
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: HR: Delivering more for less: What sets top performers apart?
Answer:
|
Business & Management
|
HR: Delivering more for less: What sets top performers apart?
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng203
|
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 SN4 International Oy / Bisnode Finland Oy
Answer:
|
Finance
|
Deal summary SN4 International Oy / Bisnode Finland Oy
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0
|
multifineng204
|
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: Diversity and inclusion: PwC - Global Annual Review 2020
Answer:
|
Business & Management
|
Diversity and inclusion: PwC - Global Annual Review 2020
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng205
|
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 accounting
Answer:
|
Tax & Accounting
|
Tax accounting
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
multifineng206
|
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: Finnish Tax Authorities’ actions to support companies during the COVID-19 epidemic
Answer:
|
Tax & Accounting
|
Finnish Tax Authorities’ actions to support companies during the COVID-19 epidemic
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
multifineng207
|
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 Leader for Logistics Management Consulting for second consecutive year
Answer:
|
Industry
|
PwC Named a Leader for Logistics Management Consulting for second consecutive year
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5
|
multifineng208
|
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
|
multifineng209
|
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: Internet advertising
Answer:
|
Industry
|
Internet advertising
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5
|
multifineng210
|
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: Shipping Industry
Answer:
|
Industry
|
Shipping Industry
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5
|
multifineng211
|
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 Consumer Insights Survey
Answer:
|
Industry
|
Global Consumer Insights Survey
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5
|
multifineng212
|
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: Strategy&
Answer:
|
Business & Management
|
Strategy&
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng213
|
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 rising attractiveness of alternative asset classes for Sovereign Wealth Funds
Answer:
|
Finance
|
The rising attractiveness of alternative asset classes for Sovereign Wealth Funds
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0
|
multifineng214
|
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: Rapidly changing behaviours in 2020 are accelerating consumer embrace of digital, health, and sustainability trends, says PwC
Answer:
|
Industry
|
Rapidly changing behaviours in 2020 are accelerating consumer embrace of digital, health, and sustainability trends, says PwC
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5
|
multifineng215
|
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: China’s semiconductor industry remains on the upswing
Answer:
|
Technology
|
China’s semiconductor industry remains on the upswing
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1
|
multifineng216
|
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 English Accelerator - Online Course
Answer:
|
Business & Management
|
Key English Accelerator - Online Course
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng217
|
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: Playing with the future: PwC’s immersive emerging tech experience
Answer:
|
Technology
|
Playing with the future: PwC’s immersive emerging tech experience
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1
|
multifineng218
|
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 COVID-19 crisis has accelerated the Digital Transformation across industries and can lead to a wave of consolidation in the TMT sector
Answer:
|
Technology
|
The COVID-19 crisis has accelerated the Digital Transformation across industries and can lead to a wave of consolidation in the TMT sector
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1
|
multifineng219
|
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 Internet of Things
Answer:
|
Technology
|
The Internet of Things
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1
|
multifineng220
|
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: 2016 Family business Survey
Answer:
|
Business & Management
|
2016 Family business Survey
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng221
|
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: Cash Flow Statements
Answer:
|
Tax & Accounting
|
Cash Flow Statements
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
multifineng222
|
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: Internal Controls Advisory
Answer:
|
Government & Controls
|
Internal Controls Advisory
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 4
|
multifineng223
|
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: Online Gambler Outlook
Answer:
|
Industry
|
Online Gambler Outlook
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5
|
multifineng224
|
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: Annual report 2016: Creating a technology enabled business transcript
Answer:
|
Tax & Accounting
|
Annual report 2016: Creating a technology enabled business transcript
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
multifineng225
|
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 and COVID-19: Emerging stronger from uncertain times
Answer:
|
Finance
|
Asset management and COVID-19: Emerging stronger from uncertain times
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0
|
multifineng226
|
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: What US business leaders should know
Answer:
|
Business & Management
|
COVID-19: What US business leaders should know
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng227
|
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 Investium Group Oy / Titanium Oyj
Answer:
|
Finance
|
Deal summary Investium Group Oy / Titanium Oyj
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0
|
multifineng228
|
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: Legislative compliance
Answer:
|
Government & Controls
|
Legislative compliance
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 4
|
multifineng229
|
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 Family Office Services: Protecting and structuring your family wealth
Answer:
|
Business & Management
|
PwC’s Family Office Services: Protecting and structuring your family wealth
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng230
|
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: COSO Enterprise Risk Management–Integrating with Strategy and Performance
Answer:
|
Business & Management
|
COSO Enterprise Risk Management–Integrating with Strategy and Performance
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng231
|
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: Candidate assessment
Answer:
|
Business & Management
|
Candidate assessment
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng232
|
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 global initiative to help harness technology to tackle environmental issues.
Answer:
|
Business & Management
|
New global initiative to help harness technology to tackle environmental issues.
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng233
|
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: Real estate law - what can investors expect in 2018?
Answer:
|
Industry
|
Real estate law - what can investors expect in 2018?
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5
|
multifineng234
|
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 Valio Oy / Chr.Hansen A/S
Answer:
|
Finance
|
Deal summary Valio Oy / Chr.Hansen A/S
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0
|
multifineng235
|
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 February 2017
Answer:
|
Tax & Accounting
|
Tax and legal news 10 February 2017
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
multifineng236
|
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 rated as a Leader in AI Consulting
Answer:
|
Technology
|
PwC rated as a Leader in AI Consulting
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1
|
multifineng237
|
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 Driven CIO Advisory
Answer:
|
Business & Management
|
Business Driven CIO Advisory
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng238
|
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: Building and rebuilding: Managing through change in Australia: Global Family Business Survey 2016: PwC
Answer:
|
Business & Management
|
Building and rebuilding: Managing through change in Australia: Global Family Business Survey 2016: PwC
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng239
|
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: Transportation and Logistics Industry
Answer:
|
Industry
|
Transportation and Logistics Industry
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5
|
multifineng240
|
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: Employment matters
Answer:
|
Business & Management
|
Employment matters
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng241
|
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: Risk assurance - Cyber security - Manage digital security
Answer:
|
Technology
|
Risk assurance - Cyber security - Manage digital security
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1
|
multifineng242
|
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: Technology media & telecommunications
Answer:
|
Technology
|
Creating value beyond the deal: Technology media & telecommunications
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1
|
multifineng243
|
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
|
multifineng244
|
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 launches its start-up accelerator program in Warsaw
Answer:
|
Business & Management
|
PwC launches its start-up accelerator program in Warsaw
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng245
|
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 Neste Oyj / OFI InfraVia
Answer:
|
Finance
|
Deal summary Neste Oyj / OFI InfraVia
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0
|
multifineng246
|
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: Strategy and growth
Answer:
|
Business & Management
|
Strategy and growth
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng247
|
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: Annual report 2016: Our awards
Answer:
|
Tax & Accounting
|
Annual report 2016: Our awards
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
multifineng248
|
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 Recovery Services
Answer:
|
Business & Management
|
Business Recovery Services
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng249
|
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: Bitcoin: PwC
Answer:
|
Technology
|
Bitcoin: PwC
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1
|
multifineng250
|
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 European Commission's priorities for 2021-2027
Answer:
|
Government & Controls
|
The new European Commission's priorities for 2021-2027
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 4
|
multifineng251
|
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 Consumer Insights Survey 2020
Answer:
|
Industry
|
PwC's Global Consumer Insights Survey 2020
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5
|
multifineng252
|
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 2017
Answer:
|
Finance
|
FinTech 2017
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0
|
multifineng253
|
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: Workforce of the future: The competing forces shaping 2030
Answer:
|
Business & Management
|
Workforce of the future: The competing forces shaping 2030
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng254
|
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: 2018 State of the Internal Audit Profession Study
Answer:
|
Tax & Accounting
|
2018 State of the Internal Audit Profession Study
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
multifineng255
|
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 Reporting and Accounting Advisory Services
Answer:
|
Tax & Accounting
|
Financial Reporting and Accounting Advisory Services
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
multifineng256
|
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 Herrmans Oy Ab
Answer:
|
Finance
|
Deal summary Herrmans Oy Ab
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0
|
multifineng257
|
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: Compensation scheme for self-employed persons - now also for freelancers
Answer:
|
Tax & Accounting
|
Compensation scheme for self-employed persons - now also for freelancers
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
multifineng258
|
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: 10 Minutes on the OECD's BEPS project
Answer:
|
Tax & Accounting
|
10 Minutes on the OECD's BEPS project
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
multifineng259
|
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: Responding to the potential business impacts of COVID-19
Answer:
|
Business & Management
|
Responding to the potential business impacts of COVID-19
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng260
|
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: 19th CEO Survey
Answer:
|
Business & Management
|
19th CEO Survey
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng261
|
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: Energy and Utilities Industry
Answer:
|
Industry
|
Energy and Utilities Industry
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5
|
multifineng262
|
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 financial sector under pressure of change
Answer:
|
Finance
|
The financial sector under pressure of change
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0
|
multifineng263
|
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: Mergers & Acquisitions Tax Services
Answer:
|
Finance
|
Mergers & Acquisitions Tax Services
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0
|
multifineng264
|
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: Mergers & Acquisitions Advisory
Answer:
|
Finance
|
Mergers & Acquisitions Advisory
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0
|
multifineng265
|
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: Upskilling your workforce should remain a key priority even in an uncertain world
Answer:
|
Business & Management
|
PwC: Upskilling your workforce should remain a key priority even in an uncertain world
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng266
|
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 and business conduct
Answer:
|
Business & Management
|
Ethics and business conduct
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng267
|
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 presents the 2020 shortlist of nominees
Answer:
|
Industry
|
The Healthy Sense Award presents the 2020 shortlist of nominees
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5
|
multifineng268
|
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 16 Leases
Answer:
|
Tax & Accounting
|
IFRS 16 Leases
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
multifineng269
|
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 Digital Healthcare Leap
Answer:
|
Industry
|
The Digital Healthcare Leap
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5
|
multifineng270
|
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 7 October 2016
Answer:
|
Tax & Accounting
|
Tax and legal news 7 October 2016
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
multifineng271
|
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 2018
Answer:
|
Tax & Accounting
|
IFRS news, August 2018
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
multifineng272
|
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: Insurance
Answer:
|
Finance
|
Insurance
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0
|
multifineng273
|
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: Consumer insights about transport & delivery 2018
Answer:
|
Industry
|
Consumer insights about transport & delivery 2018
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5
|
multifineng274
|
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 Consumer Insights Survey 2019
Answer:
|
Industry
|
Global Consumer Insights Survey 2019
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5
|
multifineng275
|
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: 2017 Oil and Gas Trends
Answer:
|
Industry
|
2017 Oil and Gas Trends
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5
|
multifineng276
|
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 digital transformation
Answer:
|
Technology
|
The digital transformation
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1
|
multifineng277
|
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: Prepare your SAP for no-deal Brexit
Answer:
|
Technology
|
Prepare your SAP for no-deal Brexit
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1
|
multifineng278
|
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: Cybersecurity and Privacy
Answer:
|
Technology
|
Cybersecurity and Privacy
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1
|
multifineng279
|
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: Success factors: Tech’s appeal in Greece: Global Family Business Survey 2016: PwC
Answer:
|
Business & Management
|
Success factors: Tech’s appeal in Greece: Global Family Business Survey 2016: PwC
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng280
|
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: Performance assurance services
Answer:
|
Tax & Accounting
|
Performance assurance services
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
multifineng281
|
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 Government Reforms: “Transforming Policy to Action”
Answer:
|
Government & Controls
|
Central Government Reforms: “Transforming Policy to Action”
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 4
|
multifineng282
|
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: Auditing and accounting
Answer:
|
Tax & Accounting
|
Auditing and accounting
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
multifineng283
|
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 2018
Answer:
|
Industry
|
Emerging Trends in Real Estate®: Europe 2018
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5
|
multifineng284
|
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 OneMed Group Oy / Megra Oy
Answer:
|
Finance
|
Deal summary OneMed Group Oy / Megra Oy
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0
|
multifineng285
|
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: Corporate Income Tax
Answer:
|
Tax & Accounting
|
Corporate Income Tax
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
multifineng286
|
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: Further important changes in income taxes and the Polish Tax Code
Answer:
|
Tax & Accounting
|
Further important changes in income taxes and the Polish Tax Code
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
multifineng287
|
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: Actuarial services contact form
Answer:
|
Finance
|
Actuarial services contact form
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0
|
multifineng288
|
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
|
multifineng289
|
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: Fraud Risk Management
Answer:
|
Government & Controls
|
Fraud Risk Management
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 4
|
multifineng290
|
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: Finance and investment audit
Answer:
|
Tax & Accounting
|
Finance and investment audit
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
multifineng291
|
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 26 January 2017
Answer:
|
Tax & Accounting
|
Tax and legal news 26 January 2017
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
multifineng292
|
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 launches new tool to help organisations assess their workforce strategy
Answer:
|
Business & Management
|
PwC launches new tool to help organisations assess their workforce strategy
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3
|
multifineng293
|
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 - June 2017
Answer:
|
Tax & Accounting
|
IFRS news - June 2017
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
multifineng294
|
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 OFI InfraVia / Outokumpu Oyj
Answer:
|
Finance
|
Deal summary OFI InfraVia / Outokumpu Oyj
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0
|
multifineng295
|
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: Leaders need to take responsibility for — and action on — responsible AI practices
Answer:
|
Technology
|
Leaders need to take responsibility for — and action on — responsible AI practices
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1
|
multifineng296
|
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 100 Software Leaders report
Answer:
|
Technology
|
Global 100 Software Leaders report
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1
|
multifineng297
|
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, October 2017
Answer:
|
Tax & Accounting
|
IFRS news, October 2017
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
multifineng298
|
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: Energy Deals 2019
Answer:
|
Industry
|
Energy Deals 2019
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5
|
multifineng299
|
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 impacts of COVID-19 on taxation in Finland
Answer:
|
Tax & Accounting
|
The impacts of COVID-19 on taxation in Finland
|
[
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.