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multifineng500 | 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: 2015 CEO Success study
Answer: | Business & Management | 2015 CEO Success study | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng501 | 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 & Operations
Answer: | Business & Management | Strategy & Operations | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng502 | 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: Transfer pricing in an exceptional circumstances
Answer: | Tax & Accounting | Transfer pricing in an exceptional circumstances | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng503 | 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: Solutions for today's complex business landscape
Answer: | Tax & Accounting | Risk Assurance: Solutions for today's complex business landscape | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng504 | 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: Personal Data Protection Bulletin June 2019
Answer: | Government & Controls | Personal Data Protection Bulletin June 2019 | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 4 |
multifineng505 | 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: ‘Failing your way to success’: Longevity and entrepreneurship in the US: Global Family Business Survey 2016: PwC
Answer: | Business & Management | ‘Failing your way to success’: Longevity and entrepreneurship in the US: Global Family Business Survey 2016: PwC | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng506 | 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: Transfer Pricing
Answer: | Tax & Accounting | Transfer Pricing | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng507 | 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: About Business Advisory Services
Answer: | Business & Management | About Business Advisory Services | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng508 | 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 & Change
Answer: | Business & Management | People & Change | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng509 | 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 Digital Operations Survey 2018
Answer: | Technology | Global Digital Operations Survey 2018 | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1 |
multifineng510 | 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: Pharma
Answer: | Industry | Pharma | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng511 | 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: SOX and internal control
Answer: | Government & Controls | SOX and internal control | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 4 |
multifineng512 | 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 2017
Answer: | Tax & Accounting | Tax and legal news 10 March 2017 | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng513 | 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: Thinking Ahead |How to relaunch passenger mobility after COVID-19 emergency
Answer: | Industry | Thinking Ahead |How to relaunch passenger mobility after COVID-19 emergency | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng514 | 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 Airlines & Airports statement of capabilities – Rising to your challenges
Answer: | Industry | Global Airlines & Airports statement of capabilities – Rising to your challenges | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng515 | 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: Leadership in times of a crisis - Cassandra Michie
Answer: | Business & Management | Leadership in times of a crisis - Cassandra Michie | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng516 | 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: 22nd CEO Survey: Healthcare and pharmaceutical trends 2019
Answer: | Industry | 22nd CEO Survey: Healthcare and pharmaceutical trends 2019 | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng517 | 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 Business Survey 2012 Italy
Answer: | Business & Management | Family Business Survey 2012 Italy | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng518 | 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 strategy and operations
Answer: | Finance | Deals strategy and operations | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng519 | 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: Paying Taxes 2017 - Tax Policy and Administration
Answer: | Tax & Accounting | Paying Taxes 2017 - Tax Policy and Administration | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng520 | 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: Technology has reduced the tax compliance burden on business, but where will the demands for increased data lead?
Answer: | Technology | Technology has reduced the tax compliance burden on business, but where will the demands for increased data lead? | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1 |
multifineng521 | 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: M&A advisory
Answer: | Finance | M&A advisory | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng522 | 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 Spain - Assurance Advisory Tax and Legal services
Answer: | Tax & Accounting | PwC Spain - Assurance Advisory Tax and Legal services | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng523 | 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 & pharmaceutical trends 2019
Answer: | Industry | Healthcare & pharmaceutical trends 2019 | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng524 | 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 |
multifineng525 | 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: Through Digital Upskilling FS Firms are Working to Move their Workforce from Analogue to Digital
Answer: | Business & Management | Through Digital Upskilling FS Firms are Working to Move their Workforce from Analogue to Digital | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng526 | 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: Turkey introduces a brand new digital services tax
Answer: | Tax & Accounting | Turkey introduces a brand new digital services tax | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng527 | 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: Shifting patterns: the future of the logistics industry
Answer: | Industry | Shifting patterns: the future of the logistics industry | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng528 | 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 and Media Outlook 2017 - 2021
Answer: | Industry | Global Entertainment and Media Outlook 2017 - 2021 | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng529 | 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: Supply chain and procurement
Answer: | Industry | Supply chain and procurement | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng530 | 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, March 2020
Answer: | Tax & Accounting | Tax and legal news, March 2020 | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng531 | 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: IAS 19 Actuarial Studies
Answer: | Finance | IAS 19 Actuarial Studies | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng532 | 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 Kymppivoima Oy, EPV Energia Oy and Helen Oy / Dong Energy
Answer: | Finance | Deal summary Kymppivoima Oy, EPV Energia Oy and Helen Oy / Dong Energy | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng533 | 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 and Public Sector
Answer: | Government & Controls | Government and Public Sector | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 4 |
multifineng534 | 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: Start of people’s voting for the Healthy Sense Award
Answer: | Industry | Start of people’s voting for the Healthy Sense Award | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng535 | 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 |
multifineng536 | 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 evolving nature of the green agenda
Answer: | Business & Management | The evolving nature of the green agenda | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng537 | 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: Paying Taxes 2017 - Comparative Modeller
Answer: | Tax & Accounting | Paying Taxes 2017 - Comparative Modeller | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng538 | 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 announces the short list of nominees for the Healthy Sense Book Award
Answer: | Industry | PwC announces the short list of nominees for the Healthy Sense Book Award | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng539 | 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 participated in the opening of the market for trading at the London Stock Exchange
Answer: | Finance | PwC participated in the opening of the market for trading at the London Stock Exchange | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |
multifineng540 | 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: Direct to Consumer
Answer: | Industry | Direct to Consumer | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 5 |
multifineng541 | 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: Generational transfer
Answer: | Business & Management | Generational transfer | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 3 |
multifineng542 | 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 reporting & strategy
Answer: | Tax & Accounting | Tax reporting & strategy | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng543 | 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: Taxes in Iceland
Answer: | Tax & Accounting | Taxes in Iceland | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 2 |
multifineng544 | 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 Security Strategy
Answer: | Technology | Information Security Strategy | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 1 |
multifineng545 | 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: Removal of the annual limit of the pension and disability contributions – employment costs are to increase
Answer: | Finance | Removal of the annual limit of the pension and disability contributions – employment costs are to increase | [
"Finance",
"Technology",
"Tax & Accounting",
"Business & Management",
"Government & Controls",
"Industry"
] | 0 |