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causal20sc500 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: He expects to start fundraising next year.
Answer: | noise | He expects to start fundraising next year. | [
"noise",
"causal"
] | 0 |
causal20sc501 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: 3 hours ago Crypto News BitcoinNews 22 Owner of popular Japanese crypto exchange Coincheck, Monex Group, has now announced it will reward shareholders in the company with crypto.
Answer: | noise | 3 hours ago Crypto News BitcoinNews 22 Owner of popular Japanese crypto exchange Coincheck, Monex Group, has now announced it will reward shareholders in the company with crypto. | [
"noise",
"causal"
] | 0 |
causal20sc502 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Shareholders are to receive a BTC dividend provided they have a Coincheck account.
Answer: | noise | Shareholders are to receive a BTC dividend provided they have a Coincheck account. | [
"noise",
"causal"
] | 0 |
causal20sc503 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: With Japan viewed as one of the top crypto adoption hotspots globally, and the country's Financial Services Agency (FSA) proclaiming a purposeful aim to promote Bitcoin, big businesses are quickly latching on to the country's solid regulatory framework to make profits.
Answer: | noise | With Japan viewed as one of the top crypto adoption hotspots globally, and the country's Financial Services Agency (FSA) proclaiming a purposeful aim to promote Bitcoin, big businesses are quickly latching on to the country's solid regulatory framework to make profits. | [
"noise",
"causal"
] | 0 |
causal20sc504 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Also Read: Bitcoin Cash Acceptance and Community Growth Ramp Up Shareholders Rewarded With BTC and Monex Points After Coincheck's infamous NEM hack of January 2018, the group would be audited, acquired by Monex Group, and revived. The $534 million security breach now in the past, Coincheck finds itself somewhat back on track and back in crypto headlines for happier news: a new incentivization for registration involving shareholders of parent company, Monex Group, Inc.
Answer: | noise | Also Read: Bitcoin Cash Acceptance and Community Growth Ramp Up Shareholders Rewarded With BTC and Monex Points After Coincheck's infamous NEM hack of January 2018, the group would be audited, acquired by Monex Group, and revived. The $534 million security breach now in the past, Coincheck finds itself somewhat back on track and back in crypto headlines for happier news: a new incentivization for registration involving shareholders of parent company, Monex Group, Inc. | [
"noise",
"causal"
] | 0 |
causal20sc505 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: In a September 24 press release Monex announced it has decided to grant a cryptocurrency, Bitcoin ( BTC ), as mid-term shareholder benefit for fiscal year 2019 to its shareholders who hold the Company's shares as of September 30, 2019 in addition to the existing shareholder benefits.
Answer: | noise | In a September 24 press release Monex announced it has decided to grant a cryptocurrency, Bitcoin ( BTC ), as mid-term shareholder benefit for fiscal year 2019 to its shareholders who hold the Company's shares as of September 30, 2019 in addition to the existing shareholder benefits. | [
"noise",
"causal"
] | 0 |
causal20sc506 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Citing an increased interest in cryptocurrency, the company will pay a benefit of 500-yen equivalent cryptocurrency BTC … to all shareholders regardless of the number of shares they are holding.
Answer: | causal | Citing an increased interest in cryptocurrency, the company will pay a benefit of 500-yen equivalent cryptocurrency BTC … to all shareholders regardless of the number of shares they are holding. | [
"noise",
"causal"
] | 1 |
causal20sc507 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Also detailed in the press release was a Monex Points system which will reward shareholders for cash trading activity and be issued in proportion to shares held in the company. Stipulations for receiving the BTC dividends include being recorded in the shareholder list as of September 30, 2019 and having completed Coincheck account registration and pertinent applications by the end of March 2020. Corporate Adoption Rising Dramatically As news.Bitcoin.com has recently reported, crypto adoption activity in Japan is entering unprecedented realms with online retail and communications giants like Rakuten and Line getting in on the action.
Answer: | noise | Also detailed in the press release was a Monex Points system which will reward shareholders for cash trading activity and be issued in proportion to shares held in the company. Stipulations for receiving the BTC dividends include being recorded in the shareholder list as of September 30, 2019 and having completed Coincheck account registration and pertinent applications by the end of March 2020. Corporate Adoption Rising Dramatically As news.Bitcoin.com has recently reported, crypto adoption activity in Japan is entering unprecedented realms with online retail and communications giants like Rakuten and Line getting in on the action. | [
"noise",
"causal"
] | 0 |
causal20sc508 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Rakuten's new wallet app is easy to use even for crypto neophytes, and serves as a Bitcoin on-ramp run by one of the most trusted and ubiquitous e-commerce companies in the nation.
Answer: | noise | Rakuten's new wallet app is easy to use even for crypto neophytes, and serves as a Bitcoin on-ramp run by one of the most trusted and ubiquitous e-commerce companies in the nation. | [
"noise",
"causal"
] | 0 |
causal20sc509 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Similarly, Japan's Line messaging app is used by 187 million global users monthly as of June, and now has its own app-connected Bitmax crypto exchange supporting BTC , BCH , ETH , LTC and XRP trading.
Answer: | noise | Similarly, Japan's Line messaging app is used by 187 million global users monthly as of June, and now has its own app-connected Bitmax crypto exchange supporting BTC , BCH , ETH , LTC and XRP trading. | [
"noise",
"causal"
] | 0 |
causal20sc510 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: As more and more corporations jump into the space, it's likely that even the presently uninitiated will soon be familiar with the basics of Bitcoin.
Answer: | noise | As more and more corporations jump into the space, it's likely that even the presently uninitiated will soon be familiar with the basics of Bitcoin. | [
"noise",
"causal"
] | 0 |
causal20sc511 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Rakuten Bank and the Rakuten Wallet app are now facilitating crypto-to-fiat and fiat-to-crypto exchange 24/7, and quick ATM withdrawal capability via the Rakuten cash card, so it's understandable some are pointing even more to the Land of the Rising Sun as the decided crypto Mecca. Even the FSA is getting behind the idea, but there's a big caveat, with an official from the group reported in August as saying: We promote bitcoin but only with controls.
Answer: | noise | Rakuten Bank and the Rakuten Wallet app are now facilitating crypto-to-fiat and fiat-to-crypto exchange 24/7, and quick ATM withdrawal capability via the Rakuten cash card, so it's understandable some are pointing even more to the Land of the Rising Sun as the decided crypto Mecca. Even the FSA is getting behind the idea, but there's a big caveat, with an official from the group reported in August as saying: We promote bitcoin but only with controls. | [
"noise",
"causal"
] | 0 |
causal20sc512 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: This proclamation, in conjunction with Japan's yet unclear tax regulations (though they're much more clearly defined than U.S. requirements ) and a regrettably meager selection of crypto-savvy tax assistance groups, makes for a strange brew in the Japanese crypto space.
Answer: | noise | This proclamation, in conjunction with Japan's yet unclear tax regulations (though they're much more clearly defined than U.S. requirements ) and a regrettably meager selection of crypto-savvy tax assistance groups, makes for a strange brew in the Japanese crypto space. | [
"noise",
"causal"
] | 0 |
causal20sc513 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: On one hand, corporate and major bank adoption is beginning to happen in huge fashion. On the other, the space is extremely regulated, pushing out smaller players and leaving some wary of jumping in.
Answer: | noise | On one hand, corporate and major bank adoption is beginning to happen in huge fashion. On the other, the space is extremely regulated, pushing out smaller players and leaving some wary of jumping in. | [
"noise",
"causal"
] | 0 |
causal20sc514 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: None of this is to mention that the vision of the Japanese-aliased Bitcoin creator himself, Satoshi Nakamoto, is hardly talked about in all the hubbub.
Answer: | noise | None of this is to mention that the vision of the Japanese-aliased Bitcoin creator himself, Satoshi Nakamoto, is hardly talked about in all the hubbub. | [
"noise",
"causal"
] | 0 |
causal20sc515 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: In a sense, big time, centrally regulated adoption could be said to come at the expense of peer-to-peer , permissionless cash.
Answer: | noise | In a sense, big time, centrally regulated adoption could be said to come at the expense of peer-to-peer , permissionless cash. | [
"noise",
"causal"
] | 0 |
causal20sc516 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: What are your thoughts on Monex's incentive and adoption in Japan?
Answer: | noise | What are your thoughts on Monex's incentive and adoption in Japan? | [
"noise",
"causal"
] | 0 |
causal20sc517 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: How do we as fiduciaries approach investment governance?
Answer: | noise | How do we as fiduciaries approach investment governance? | [
"noise",
"causal"
] | 0 |
causal20sc518 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: That question is more important than ever. Why?
Answer: | noise | That question is more important than ever. Why? | [
"noise",
"causal"
] | 0 |
causal20sc519 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Because increased scrutiny around investment governance, fiduciary duty, and the performance of institutional investors - pension plans, endowments, and foundations, among them - coupled with ongoing regulatory supervision demands that we demonstrate best practice in a transparent and defensible manner. This means that how we do things is just as important as what we do.
Answer: | noise | Because increased scrutiny around investment governance, fiduciary duty, and the performance of institutional investors - pension plans, endowments, and foundations, among them - coupled with ongoing regulatory supervision demands that we demonstrate best practice in a transparent and defensible manner. This means that how we do things is just as important as what we do. | [
"noise",
"causal"
] | 0 |
causal20sc520 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Investment Governance for Fiduciaries, our new CFA Institute Research Foundation monograph, begins by asking this initial how question. We need to embrace the human dimension and define investment governance not just for fiduciaries, but for everyone in the investment organization, regardless of their specific function, skillset, and experience. Investment governance is both directional and relational: It is about policy and process as well as trust and culture.
Answer: | noise | Investment Governance for Fiduciaries, our new CFA Institute Research Foundation monograph, begins by asking this initial how question. We need to embrace the human dimension and define investment governance not just for fiduciaries, but for everyone in the investment organization, regardless of their specific function, skillset, and experience. Investment governance is both directional and relational: It is about policy and process as well as trust and culture. | [
"noise",
"causal"
] | 0 |
causal20sc521 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: It is more than tweaking investment policy statements, ticking another box in a compliance checklist, or being dazzled by an investment manager's PowerPoint wizardry during the beauty contest/manager-selection process.
Answer: | noise | It is more than tweaking investment policy statements, ticking another box in a compliance checklist, or being dazzled by an investment manager's PowerPoint wizardry during the beauty contest/manager-selection process. | [
"noise",
"causal"
] | 0 |
causal20sc522 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Great investment governance is more than compliance.
Answer: | noise | Great investment governance is more than compliance. | [
"noise",
"causal"
] | 0 |
causal20sc523 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: When investment governance is about compliance alone, it limits the scope of our deliberations. We only ask, Are we doing things right?
Answer: | noise | When investment governance is about compliance alone, it limits the scope of our deliberations. We only ask, Are we doing things right? | [
"noise",
"causal"
] | 0 |
causal20sc524 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Great investment governance goes deeper: It asks the harder questions, such as, Are we doing the right things? That means going beyond Sharpe ratios, Jensen's alphas, or models of manager skill. To explore both the human and the qualitative dimension, we must find a common vocabulary and framework to meet the challenge.
Answer: | noise | Great investment governance goes deeper: It asks the harder questions, such as, Are we doing the right things? That means going beyond Sharpe ratios, Jensen's alphas, or models of manager skill. To explore both the human and the qualitative dimension, we must find a common vocabulary and framework to meet the challenge. | [
"noise",
"causal"
] | 0 |
causal20sc525 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Investment governance is about values, about achieving great outcomes for those we serve. Fiduciaries must bring coherence to their investment governance practice. And that requires mission clarity: We need to tackle the why question!
Answer: | noise | Investment governance is about values, about achieving great outcomes for those we serve. Fiduciaries must bring coherence to their investment governance practice. And that requires mission clarity: We need to tackle the why question! | [
"noise",
"causal"
] | 0 |
causal20sc526 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: As purpose-driven fiduciaries, we need clear investment beliefs to inform the how. These beliefs are our metaphorical North Star that guides the investment process we create to solve the beneficiary's investment problem.
Answer: | noise | As purpose-driven fiduciaries, we need clear investment beliefs to inform the how. These beliefs are our metaphorical North Star that guides the investment process we create to solve the beneficiary's investment problem. | [
"noise",
"causal"
] | 0 |
causal20sc527 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Around the world fiduciaries are struggling with the challenging investment outlook.
Answer: | noise | Around the world fiduciaries are struggling with the challenging investment outlook. | [
"noise",
"causal"
] | 0 |
causal20sc528 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Cash rates are low, inflation is low, and discount rates are compressed.
Answer: | noise | Cash rates are low, inflation is low, and discount rates are compressed. | [
"noise",
"causal"
] | 0 |
causal20sc529 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: In the late 1980s, an expected return of 7.5% could be generated with just cash and bonds. Today, to achieve the same expected return, a fiduciary may have to hold 90% growth assets, a third of which would be alternatives.
Answer: | noise | In the late 1980s, an expected return of 7.5% could be generated with just cash and bonds. Today, to achieve the same expected return, a fiduciary may have to hold 90% growth assets, a third of which would be alternatives. | [
"noise",
"causal"
] | 0 |
causal20sc530 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: That is, the same expected return and a six-fold increase in expected volatility. This has placed much greater demands on investment governance. Monitoring a multi-asset process with private market exposure requires much more from fiduciaries than a portfolio of cash and bonds.
Answer: | noise | That is, the same expected return and a six-fold increase in expected volatility. This has placed much greater demands on investment governance. Monitoring a multi-asset process with private market exposure requires much more from fiduciaries than a portfolio of cash and bonds. | [
"noise",
"causal"
] | 0 |
causal20sc531 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Has your internal resourcing of the investment governance process - the governance budget - kept pace with these radical changes in portfolio composition over the past three decades?
Answer: | noise | Has your internal resourcing of the investment governance process - the governance budget - kept pace with these radical changes in portfolio composition over the past three decades? | [
"noise",
"causal"
] | 0 |
causal20sc532 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The investment governance process must protect the beneficiary, to the greatest extent possible, from all the potential mishaps of the investment industry. We call this ongoing fiduciary process OPERIS: Objective Policy Execute and Resource Implement and Superintend.
Answer: | noise | The investment governance process must protect the beneficiary, to the greatest extent possible, from all the potential mishaps of the investment industry. We call this ongoing fiduciary process OPERIS: Objective Policy Execute and Resource Implement and Superintend. | [
"noise",
"causal"
] | 0 |
causal20sc533 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: This framework puts the beneficiary first and ensures role clarity by defining a fiduciary line. OPERIS constructs a metaphorical fortress that facilitates the selection of the next great asset class or investment manager, but it also places as much or more weight on avoiding poor investment decisions. We see this defensive mindset as a sustainable, comparative advantage available to the fiduciary investor.
Answer: | noise | This framework puts the beneficiary first and ensures role clarity by defining a fiduciary line. OPERIS constructs a metaphorical fortress that facilitates the selection of the next great asset class or investment manager, but it also places as much or more weight on avoiding poor investment decisions. We see this defensive mindset as a sustainable, comparative advantage available to the fiduciary investor. | [
"noise",
"causal"
] | 0 |
causal20sc534 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Our central thesis is that achieving outcomes for beneficiaries is as much, if not more, about managing risks in the broadest sense, as it is about harvesting returns.
Answer: | noise | Our central thesis is that achieving outcomes for beneficiaries is as much, if not more, about managing risks in the broadest sense, as it is about harvesting returns. | [
"noise",
"causal"
] | 0 |
causal20sc535 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: This requires that the fiduciary defines the mission - the why. That means asking, What's our objective?
Answer: | noise | This requires that the fiduciary defines the mission - the why. That means asking, What's our objective? | [
"noise",
"causal"
] | 0 |
causal20sc536 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: This requires a holistic understanding of the beneficiary's investment problem.
Answer: | noise | This requires a holistic understanding of the beneficiary's investment problem. | [
"noise",
"causal"
] | 0 |
causal20sc537 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Too often, fiduciary boards' answer to this question is: Our primary objective is to outperform our peers.
Answer: | noise | Too often, fiduciary boards' answer to this question is: Our primary objective is to outperform our peers. | [
"noise",
"causal"
] | 0 |
causal20sc538 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: This is not the right answer.
Answer: | noise | This is not the right answer. | [
"noise",
"causal"
] | 0 |
causal20sc539 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Great investment governance approaches investment returns as inputs to the outcome, not the outcome itself.
Answer: | noise | Great investment governance approaches investment returns as inputs to the outcome, not the outcome itself. | [
"noise",
"causal"
] | 0 |
causal20sc540 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: In the context of a defined-contribution (DC) plan, for example, a beneficiary may measure success by, say, replacing two thirds of their pre-retirement income in real terms over the retirement phase. In this instance, the fiduciary needs a dual monitoring approach that includes both the traditional performance evaluation of their investment managers as well as understanding, on a periodic basis, the probability that the objective won't be met.
Answer: | noise | In the context of a defined-contribution (DC) plan, for example, a beneficiary may measure success by, say, replacing two thirds of their pre-retirement income in real terms over the retirement phase. In this instance, the fiduciary needs a dual monitoring approach that includes both the traditional performance evaluation of their investment managers as well as understanding, on a periodic basis, the probability that the objective won't be met. | [
"noise",
"causal"
] | 0 |
causal20sc541 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: We believe the prevailing approach to monitoring and review only addresses a subset of the questions facing the modern fiduciary. The fiduciary's role is to ensure the investment organization and the beneficiary's actual problem are in alignment.
Answer: | noise | We believe the prevailing approach to monitoring and review only addresses a subset of the questions facing the modern fiduciary. The fiduciary's role is to ensure the investment organization and the beneficiary's actual problem are in alignment. | [
"noise",
"causal"
] | 0 |
causal20sc542 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: This means orienting and applying resources - people, policies, processes, and systems - to address the underlying investment challenge.
Answer: | noise | This means orienting and applying resources - people, policies, processes, and systems - to address the underlying investment challenge. | [
"noise",
"causal"
] | 0 |
causal20sc543 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: It's about creating collaborative cultures and securing accountability both internally and with external service providers.
Answer: | noise | It's about creating collaborative cultures and securing accountability both internally and with external service providers. | [
"noise",
"causal"
] | 0 |
causal20sc544 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: It's about building a fit-for-purpose investment governance capability for our task, in our context. In a world where the consensus expectations for forward-looking returns are muted, fiduciaries need to exploit every advantage on behalf of those we serve. We cannot delegate accountability.
Answer: | noise | It's about building a fit-for-purpose investment governance capability for our task, in our context. In a world where the consensus expectations for forward-looking returns are muted, fiduciaries need to exploit every advantage on behalf of those we serve. We cannot delegate accountability. | [
"noise",
"causal"
] | 0 |
causal20sc545 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: And, as history has shown, any fortress - military or metaphorical - is only as strong as its most vulnerable point. Fiduciaries are the stewards of other people's money.
Answer: | noise | And, as history has shown, any fortress - military or metaphorical - is only as strong as its most vulnerable point. Fiduciaries are the stewards of other people's money. | [
"noise",
"causal"
] | 0 |
causal20sc546 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: That money may be the retirement savings of millions of workers, the wealth of nations, or the legacy and good works of a charity.
Answer: | noise | That money may be the retirement savings of millions of workers, the wealth of nations, or the legacy and good works of a charity. | [
"noise",
"causal"
] | 0 |
causal20sc547 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Great investment governance provides a defensible, repeatable, and documented process that places our beneficiary at the heart of all we do. As such, they should not be construed as investment advice, nor do the opinions expressed necessarily reflect the views of CFA Institute or the author's employer. He is a financial economist specializing in the areas of investment governance, pension plan design, and outcome-oriented investing.
Answer: | noise | Great investment governance provides a defensible, repeatable, and documented process that places our beneficiary at the heart of all we do. As such, they should not be construed as investment advice, nor do the opinions expressed necessarily reflect the views of CFA Institute or the author's employer. He is a financial economist specializing in the areas of investment governance, pension plan design, and outcome-oriented investing. | [
"noise",
"causal"
] | 0 |
causal20sc548 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Drew's research has been published in leading practitioner journals, including the Journal of Pension Economics and Finance, the Journal of Portfolio Management, and the Journal of Retirement.
Answer: | noise | Drew's research has been published in leading practitioner journals, including the Journal of Pension Economics and Finance, the Journal of Portfolio Management, and the Journal of Retirement. | [
"noise",
"causal"
] | 0 |
causal20sc549 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: He has been invited to make submissions and to testify before numerous committees, including the US Department of Labor and the SEC joint hearing on target-date funds.
Answer: | noise | He has been invited to make submissions and to testify before numerous committees, including the US Department of Labor and the SEC joint hearing on target-date funds. | [
"noise",
"causal"
] | 0 |
causal20sc550 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Drew serves as a specialist member of the QSuper Investment Committee and is a member of the Investment Advisory Board of the Petroleum Fund of Timor-Leste (East Timor).
Answer: | noise | Drew serves as a specialist member of the QSuper Investment Committee and is a member of the Investment Advisory Board of the Petroleum Fund of Timor-Leste (East Timor). | [
"noise",
"causal"
] | 0 |
causal20sc551 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: He received his PhD in economics from the University of Queensland, is an Accredited Investment Fiduciary Analyst®, and is a Life Member of FINSIA, the Financial Services Institute of Australasia.
Answer: | noise | He received his PhD in economics from the University of Queensland, is an Accredited Investment Fiduciary Analyst®, and is a Life Member of FINSIA, the Financial Services Institute of Australasia. | [
"noise",
"causal"
] | 0 |
causal20sc552 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Adam N. Walk, PhD Adam N. Walk, PhD, is a partner of Stonechat Capital a director of Drew, Walk & Co. and an adjunct professor at the University of Notre Dame - Australia.
Answer: | noise | Adam N. Walk, PhD Adam N. Walk, PhD, is a partner of Stonechat Capital a director of Drew, Walk & Co. and an adjunct professor at the University of Notre Dame - Australia. | [
"noise",
"causal"
] | 0 |
causal20sc553 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: He is a financial economist specializing in the areas of investment governance, pension finance, and investments. Walk's research has been published in the Journal of Portfolio Management and the Journal of Retirement.
Answer: | noise | He is a financial economist specializing in the areas of investment governance, pension finance, and investments. Walk's research has been published in the Journal of Portfolio Management and the Journal of Retirement. | [
"noise",
"causal"
] | 0 |
causal20sc554 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: He serves as an alternate director of Rest and adviser to the Group Capital and Investment Committee at RACQ Group, is a board member of the Archdiocesan Development Fund of the Roman Catholic Archdiocese of Brisbane, and is deputy chair and a trustee of Campion College Australia. Walk received his PhD in financial economics from Griffith University, Queensland, Australia. He is an Accredited Investment Fiduciary Analyst® and a Certified Investment Management Analyst® designee.
Answer: | noise | He serves as an alternate director of Rest and adviser to the Group Capital and Investment Committee at RACQ Group, is a board member of the Archdiocesan Development Fund of the Roman Catholic Archdiocese of Brisbane, and is deputy chair and a trustee of Campion College Australia. Walk received his PhD in financial economics from Griffith University, Queensland, Australia. He is an Accredited Investment Fiduciary Analyst® and a Certified Investment Management Analyst® designee. | [
"noise",
"causal"
] | 0 |
causal20sc555 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Shareholders of record on Wednesday, September 4th will be paid a dividend of 0.12 per share on Friday, September 13th. This represents a $0.48 dividend on an annualized basis and a yield of 5.13%.
Answer: | causal | Shareholders of record on Wednesday, September 4th will be paid a dividend of 0.12 per share on Friday, September 13th. This represents a $0.48 dividend on an annualized basis and a yield of 5.13%. | [
"noise",
"causal"
] | 1 |
causal20sc556 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The ex-dividend date is Tuesday, September 3rd. Rocky Mountain Chocolate Factory has a dividend payout ratio of 70.6% meaning its dividend is sufficiently covered by earnings.
Answer: | noise | The ex-dividend date is Tuesday, September 3rd. Rocky Mountain Chocolate Factory has a dividend payout ratio of 70.6% meaning its dividend is sufficiently covered by earnings. | [
"noise",
"causal"
] | 0 |
causal20sc557 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Rocky Mountain Chocolate Factory stock opened at $9.35 on Monday. Rocky Mountain Chocolate Factory has a 12 month low of $7.95 and a 12 month high of $10.49.
Answer: | noise | Rocky Mountain Chocolate Factory stock opened at $9.35 on Monday. Rocky Mountain Chocolate Factory has a 12 month low of $7.95 and a 12 month high of $10.49. | [
"noise",
"causal"
] | 0 |
causal20sc558 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The company has a debt-to-equity ratio of 0.12, a current ratio of 2.62 and a quick ratio of 1.89.
Answer: | noise | The company has a debt-to-equity ratio of 0.12, a current ratio of 2.62 and a quick ratio of 1.89. | [
"noise",
"causal"
] | 0 |
causal20sc559 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The stock's 50-day moving average is $9.11 and its 200-day moving average is $9.11. The company has a market cap of $55.48 million, a price-to-earnings ratio of 20.22 and a beta of 0.40.
Answer: | noise | The stock's 50-day moving average is $9.11 and its 200-day moving average is $9.11. The company has a market cap of $55.48 million, a price-to-earnings ratio of 20.22 and a beta of 0.40. | [
"noise",
"causal"
] | 0 |
causal20sc560 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Rocky Mountain Chocolate Factory (NASDAQ:RMCF) last posted its quarterly earnings results on Friday, July 12th. The company reported $0.11 EPS for the quarter.
Answer: | noise | Rocky Mountain Chocolate Factory (NASDAQ:RMCF) last posted its quarterly earnings results on Friday, July 12th. The company reported $0.11 EPS for the quarter. | [
"noise",
"causal"
] | 0 |
causal20sc561 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Rocky Mountain Chocolate Factory had a return on equity of 12.22% and a net margin of 6.99%. The firm had revenue of $8.43 million during the quarter.
Answer: | noise | Rocky Mountain Chocolate Factory had a return on equity of 12.22% and a net margin of 6.99%. The firm had revenue of $8.43 million during the quarter. | [
"noise",
"causal"
] | 0 |
causal20sc562 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Separately, TheStreet lowered shares of Rocky Mountain Chocolate Factory from a b- rating to a c+ rating in a research note on Tuesday, June 11th. Rocky Mountain Chocolate Factory Company Profile Rocky Mountain Chocolate Factory, Inc, together with its subsidiaries, operates as a confectionery franchisor, manufacturer, and retail operator.
Answer: | noise | Separately, TheStreet lowered shares of Rocky Mountain Chocolate Factory from a b- rating to a c+ rating in a research note on Tuesday, June 11th. Rocky Mountain Chocolate Factory Company Profile Rocky Mountain Chocolate Factory, Inc, together with its subsidiaries, operates as a confectionery franchisor, manufacturer, and retail operator. | [
"noise",
"causal"
] | 0 |
causal20sc563 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: It operates through five segments: Franchising, Manufacturing, Retail Stores, U-Swirl Operations, and Other. The company produces approximately 700 chocolate candies and other confectionery products, including clusters, caramels, creams, toffees, mints, and truffles and offers 15 varieties of caramel apples and other products that are prepared in individual stores, as well as provides ice cream, coffee, and other sundries.
Answer: | noise | It operates through five segments: Franchising, Manufacturing, Retail Stores, U-Swirl Operations, and Other. The company produces approximately 700 chocolate candies and other confectionery products, including clusters, caramels, creams, toffees, mints, and truffles and offers 15 varieties of caramel apples and other products that are prepared in individual stores, as well as provides ice cream, coffee, and other sundries. | [
"noise",
"causal"
] | 0 |
causal20sc564 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Animalcare Group Plc (LON:ANCR) Announces Dividend of GBX 2 Tweet Animalcare Group Plc (LON:ANCR) announced a dividend on Tuesday, September 24th, Upcoming.Co.Uk reports. Stockholders of record on Thursday, October 24th will be paid a dividend of GBX 2 ($0.03) per share on Friday, November 22nd. This represents a dividend yield of 1.44%.
Answer: | causal | Animalcare Group Plc (LON:ANCR) Announces Dividend of GBX 2 Tweet Animalcare Group Plc (LON:ANCR) announced a dividend on Tuesday, September 24th, Upcoming.Co.Uk reports. Stockholders of record on Thursday, October 24th will be paid a dividend of GBX 2 ($0.03) per share on Friday, November 22nd. This represents a dividend yield of 1.44%. | [
"noise",
"causal"
] | 1 |
causal20sc565 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The ex-dividend date is Thursday, October 24th. The official announcement can be accessed at this link.
Answer: | noise | The ex-dividend date is Thursday, October 24th. The official announcement can be accessed at this link. | [
"noise",
"causal"
] | 0 |
causal20sc566 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Shares of LON ANCR traded up GBX 4.50 ($0.06) during mid-day trading on Tuesday, hitting GBX 138.50 ($1.81). 18,080 shares of the company's stock traded hands, compared to its average volume of 35,341.
Answer: | causal | Shares of LON ANCR traded up GBX 4.50 ($0.06) during mid-day trading on Tuesday, hitting GBX 138.50 ($1.81). 18,080 shares of the company's stock traded hands, compared to its average volume of 35,341. | [
"noise",
"causal"
] | 1 |
causal20sc567 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The company's 50-day moving average is GBX 147.81 and its two-hundred day moving average is GBX 147.91.
Answer: | noise | The company's 50-day moving average is GBX 147.81 and its two-hundred day moving average is GBX 147.91. | [
"noise",
"causal"
] | 0 |
causal20sc568 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The company has a debt-to-equity ratio of 36.52, a current ratio of 1.96 and a quick ratio of 1.17.
Answer: | noise | The company has a debt-to-equity ratio of 36.52, a current ratio of 1.96 and a quick ratio of 1.17. | [
"noise",
"causal"
] | 0 |
causal20sc569 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The company has a market capitalization of $83.18 million and a P/E ratio of -81.47. Animalcare Group has a 1 year low of GBX 114 ($1.49) and a 1 year high of GBX 224 ($2.93).
Answer: | noise | The company has a market capitalization of $83.18 million and a P/E ratio of -81.47. Animalcare Group has a 1 year low of GBX 114 ($1.49) and a 1 year high of GBX 224 ($2.93). | [
"noise",
"causal"
] | 0 |
causal20sc570 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: About Animalcare Group Animalcare Group plc, an animal health company, developes, distributes, and sells licensed veterinary pharmaceuticals and identification products and services for the companion animal veterinary markets in the United Kingdom. It operates in two segments, Pharmaceuticals and Wholesale. The company exports its products to 50 markets worldwide.
Answer: | noise | About Animalcare Group Animalcare Group plc, an animal health company, developes, distributes, and sells licensed veterinary pharmaceuticals and identification products and services for the companion animal veterinary markets in the United Kingdom. It operates in two segments, Pharmaceuticals and Wholesale. The company exports its products to 50 markets worldwide. | [
"noise",
"causal"
] | 0 |
causal20sc571 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Adrian Nazari· Fin-TechOpinionTop News ··3 min read ShareTweetShareSubmit Robo advisors for asset management have democratized the investment world.
Answer: | noise | Adrian Nazari· Fin-TechOpinionTop News ··3 min read ShareTweetShareSubmit Robo advisors for asset management have democratized the investment world. | [
"noise",
"causal"
] | 0 |
causal20sc572 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Now, anyone with a little disposable income can take advantage of valuable financial advice to optimize their portfolio - at a price point that makes sense for the average investor. But the average consumer also carries a lot of debt - a fact that today's robo advisors do not take into account when making recommendations and is a much better indicator of financial health. Consider that US household debt has bubbled to $14+ Trillion and the average U.S. family carries $38,000 in personal debt alone, excluding home mortgages, and last month, the federal reserve announced consumer credit increased $17.5 billion in April, an annual growth rate of 5.2% (a five-month high).
Answer: | noise | Now, anyone with a little disposable income can take advantage of valuable financial advice to optimize their portfolio - at a price point that makes sense for the average investor. But the average consumer also carries a lot of debt - a fact that today's robo advisors do not take into account when making recommendations and is a much better indicator of financial health. Consider that US household debt has bubbled to $14+ Trillion and the average U.S. family carries $38,000 in personal debt alone, excluding home mortgages, and last month, the federal reserve announced consumer credit increased $17.5 billion in April, an annual growth rate of 5.2% (a five-month high). | [
"noise",
"causal"
] | 0 |
causal20sc573 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: It's clear that Americans love cheap, readily-available credit.
Answer: | noise | It's clear that Americans love cheap, readily-available credit. | [
"noise",
"causal"
] | 0 |
causal20sc574 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: On the surface, there may not be anything wrong with that. After all, credit built the U.S. economy and allowed millions to raise themselves out of poverty by increasing homeownership and making education more affordable. The problem is that over the past two decades, the credit industry has exploded and grown more complex, leading most consumers to carry more and the wrong kind of debt - either with high or variable interest rates or with other terms that are simply unaffordable.
Answer: | noise | On the surface, there may not be anything wrong with that. After all, credit built the U.S. economy and allowed millions to raise themselves out of poverty by increasing homeownership and making education more affordable. The problem is that over the past two decades, the credit industry has exploded and grown more complex, leading most consumers to carry more and the wrong kind of debt - either with high or variable interest rates or with other terms that are simply unaffordable. | [
"noise",
"causal"
] | 0 |
causal20sc575 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Bad credit can ruin lives. It leads to overspending, undersaving and an increase in bankruptcies. Consumers with poor credit aren't able to rent apartments, purchase a car or get a loan - directly impacting people's quality of life.
Answer: | noise | Bad credit can ruin lives. It leads to overspending, undersaving and an increase in bankruptcies. Consumers with poor credit aren't able to rent apartments, purchase a car or get a loan - directly impacting people's quality of life. | [
"noise",
"causal"
] | 0 |
causal20sc576 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: There are also macroeconomic effects of bad credit as well. Homeownership and entrepreneurial activity go down, less capital is available for investment, consumers lose purchasing power and the economy stagnates.
Answer: | noise | There are also macroeconomic effects of bad credit as well. Homeownership and entrepreneurial activity go down, less capital is available for investment, consumers lose purchasing power and the economy stagnates. | [
"noise",
"causal"
] | 0 |
causal20sc577 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: It's clear that consumers today need clear, easily-digestible credit information and advice so they can make informed decisions. However, while consumers have abundant access to investment advice, there is no financial advisor equivalent on the liability side of the ledger. Credit is complex and difficult to assess on an individual basis - making personal advisors for credit cost-prohibitive.
Answer: | noise | It's clear that consumers today need clear, easily-digestible credit information and advice so they can make informed decisions. However, while consumers have abundant access to investment advice, there is no financial advisor equivalent on the liability side of the ledger. Credit is complex and difficult to assess on an individual basis - making personal advisors for credit cost-prohibitive. | [
"noise",
"causal"
] | 0 |
causal20sc578 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Fortunately, the technology to bridge this gap currently exists. Similar to investment robo advisors, credit robo advisors built on artificial intelligence (AI) and machine learning (ML) can provide credible credit advice on a scale and price affordable to the average consumer. These credit robo advisors will help people optimize their credit and debt, and provide recommendations for products that consumers are eligible for while helping them achieve credit health.
Answer: | noise | Fortunately, the technology to bridge this gap currently exists. Similar to investment robo advisors, credit robo advisors built on artificial intelligence (AI) and machine learning (ML) can provide credible credit advice on a scale and price affordable to the average consumer. These credit robo advisors will help people optimize their credit and debt, and provide recommendations for products that consumers are eligible for while helping them achieve credit health. | [
"noise",
"causal"
] | 0 |
causal20sc579 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Here are three things that consumers should look for in a credit robo advisor: 1. Understand what's available in the market. Any credit robo advisor worth its salt needs to have relationships with hundreds of lenders, so it can identify credit products that are ideal for each consumer.
Answer: | noise | Here are three things that consumers should look for in a credit robo advisor: 1. Understand what's available in the market. Any credit robo advisor worth its salt needs to have relationships with hundreds of lenders, so it can identify credit products that are ideal for each consumer. | [
"noise",
"causal"
] | 0 |
causal20sc580 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: It needs real-time access to rates and terms and be able to analyze products quickly to find accurate matches.
Answer: | noise | It needs real-time access to rates and terms and be able to analyze products quickly to find accurate matches. | [
"noise",
"causal"
] | 0 |
causal20sc581 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Have a full picture of a consumer's credit health. A credit robo advisor also needs an accurate account of each consumer based on existing credit data - beyond just a simple credit score.
Answer: | noise | Have a full picture of a consumer's credit health. A credit robo advisor also needs an accurate account of each consumer based on existing credit data - beyond just a simple credit score. | [
"noise",
"causal"
] | 0 |
causal20sc582 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: This includes credit history as well as personal risk assessments.
Answer: | noise | This includes credit history as well as personal risk assessments. | [
"noise",
"causal"
] | 0 |
causal20sc583 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Know how credit decisions today impact the future. Matching consumers with the right credit product is only part of the equation.
Answer: | noise | Know how credit decisions today impact the future. Matching consumers with the right credit product is only part of the equation. | [
"noise",
"causal"
] | 0 |
causal20sc584 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Credit robo advisors also need to understand how credit decisions impact consumers' credit and ability to get credit in the future.
Answer: | noise | Credit robo advisors also need to understand how credit decisions impact consumers' credit and ability to get credit in the future. | [
"noise",
"causal"
] | 0 |
causal20sc585 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Building good credit today opens doors to a better life tomorrow, and an ill-advised decision may impact someone's ability to purchase a home, start a business or send their children to college. See also The approach Is digital-first for community banks to remain relevant Robo advisors have brought investment advice to the masses, but fail to address the liability side of the ledger which is a more reliable indicator of financial health for the majority of the consumers.
Answer: | noise | Building good credit today opens doors to a better life tomorrow, and an ill-advised decision may impact someone's ability to purchase a home, start a business or send their children to college. See also The approach Is digital-first for community banks to remain relevant Robo advisors have brought investment advice to the masses, but fail to address the liability side of the ledger which is a more reliable indicator of financial health for the majority of the consumers. | [
"noise",
"causal"
] | 0 |
causal20sc586 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Credit robo advisors have the potential to make a much bigger impact on the lives of the average consumer. Powered by AI and ML, these credit robo advisors can help consumers manage their credit better and put them in better long-term financial health.
Answer: | noise | Credit robo advisors have the potential to make a much bigger impact on the lives of the average consumer. Powered by AI and ML, these credit robo advisors can help consumers manage their credit better and put them in better long-term financial health. | [
"noise",
"causal"
] | 0 |
causal20sc587 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Only then will we be able to ensure good financial and credit health for all Americans.
Answer: | noise | Only then will we be able to ensure good financial and credit health for all Americans. | [
"noise",
"causal"
] | 0 |
causal20sc588 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Mega-transportation tax could be coming: Roadshow Q: I usually read your column for transportation information, not comedy.
Answer: | noise | Mega-transportation tax could be coming: Roadshow Q: I usually read your column for transportation information, not comedy. | [
"noise",
"causal"
] | 0 |
causal20sc589 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: But the other day I got a chuckle when you mentioned that a half-cent sales tax proposed in Contra Costa County would expire in 30 years.
Answer: | noise | But the other day I got a chuckle when you mentioned that a half-cent sales tax proposed in Contra Costa County would expire in 30 years. | [
"noise",
"causal"
] | 0 |
causal20sc590 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: No, Gary, it will never expire. The sun will expire before that tax does. Robert Cummings, Brentwood A: The next readers aren't chuckling either.
Answer: | noise | No, Gary, it will never expire. The sun will expire before that tax does. Robert Cummings, Brentwood A: The next readers aren't chuckling either. | [
"noise",
"causal"
] | 0 |
causal20sc591 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Like Mr. Roadshow's Facebook page for more questions and answers about Bay Area roads, freeways and commuting.
Answer: | noise | Like Mr. Roadshow's Facebook page for more questions and answers about Bay Area roads, freeways and commuting. | [
"noise",
"causal"
] | 0 |
causal20sc592 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Q: You completely missed the point of Richard Garlow's letter regarding the Contra Costa Transportation Authority seeking new taxes for road repairs.
Answer: | noise | Q: You completely missed the point of Richard Garlow's letter regarding the Contra Costa Transportation Authority seeking new taxes for road repairs. | [
"noise",
"causal"
] | 0 |
causal20sc593 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: We are already paying an extra 12 cents a gallon on our gasoline purchases, and a $10 surcharge on our vehicle registration, ostensibly for road improvements.
Answer: | causal | We are already paying an extra 12 cents a gallon on our gasoline purchases, and a $10 surcharge on our vehicle registration, ostensibly for road improvements. | [
"noise",
"causal"
] | 1 |
causal20sc594 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Enough is enough! We can't keep giving these bureaucrats more and more of our money.
Answer: | noise | Enough is enough! We can't keep giving these bureaucrats more and more of our money. | [
"noise",
"causal"
] | 0 |
causal20sc595 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: They need to live within their means and stop trying to extort more of our money from us. Most hikes were approved by a two-thirds margin from voters.
Answer: | noise | They need to live within their means and stop trying to extort more of our money from us. Most hikes were approved by a two-thirds margin from voters. | [
"noise",
"causal"
] | 0 |
causal20sc596 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: This one would fill in the funding gap for the Highway 4 and Interstate 680 area. Q: Your column discusses another proposed sales tax increase in Contra Costa County. Left unsaid was the unwelcome news that the usual suspects want to put yet another Bay Area-wide tax increase vote on the ballot next year.
Answer: | noise | This one would fill in the funding gap for the Highway 4 and Interstate 680 area. Q: Your column discusses another proposed sales tax increase in Contra Costa County. Left unsaid was the unwelcome news that the usual suspects want to put yet another Bay Area-wide tax increase vote on the ballot next year. | [
"noise",
"causal"
] | 0 |
causal20sc597 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: All of this nickel-and-diming has contributed into making the Bay Area a horribly expensive place to live, especially for people of modest means, who must pay the greatest percentage of their income in these regressive taxes and fees.
Answer: | noise | All of this nickel-and-diming has contributed into making the Bay Area a horribly expensive place to live, especially for people of modest means, who must pay the greatest percentage of their income in these regressive taxes and fees. | [
"noise",
"causal"
] | 0 |
causal20sc598 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Each increase by itself does not amount to much, say a quarter-cent, but the cumulative effect is to add to the unaffordability of the region. Why don't the wealthy high-rollers in the Silicon Valley Leadership Group suggest taxing their rich companies and leave the little guy alone for a change?
Answer: | noise | Each increase by itself does not amount to much, say a quarter-cent, but the cumulative effect is to add to the unaffordability of the region. Why don't the wealthy high-rollers in the Silicon Valley Leadership Group suggest taxing their rich companies and leave the little guy alone for a change? | [
"noise",
"causal"
] | 0 |
causal20sc599 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Bill Hough, Los Altos A: There is talk about a mega-measure on the 2020 ballot of a one-cent sales tax increase over the nine Bay Area counties for a new transbay rail crossing for BART.
Answer: | noise | Bill Hough, Los Altos A: There is talk about a mega-measure on the 2020 ballot of a one-cent sales tax increase over the nine Bay Area counties for a new transbay rail crossing for BART. | [
"noise",
"causal"
] | 0 |