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