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causal20sc600 | 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 could also include upgrades to BART's existing infrastructure and earthquake safety improvements in the Caldecott Tunnel.
Answer: | noise | It could also include upgrades to BART's existing infrastructure and earthquake safety improvements in the Caldecott Tunnel. | [
"noise",
"causal"
] | 0 |
causal20sc601 | 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 goal would bring in $100 billion over 40 years, but would likely need a two-thirds approval.
Answer: | noise | The goal would bring in $100 billion over 40 years, but would likely need a two-thirds approval. | [
"noise",
"causal"
] | 0 |
causal20sc602 | 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: A PROPERTY business run by Labour hasn't paid a penny in tax for 15 years - despite rental income of nearly £20 million. Shadow Chancellor John McDonnell faced charges of barefaced hypocrisy over the revelations after declaring war on 'tax dodging' last week.
Answer: | noise | A PROPERTY business run by Labour hasn't paid a penny in tax for 15 years - despite rental income of nearly £20 million. Shadow Chancellor John McDonnell faced charges of barefaced hypocrisy over the revelations after declaring war on 'tax dodging' last week. | [
"noise",
"causal"
] | 0 |
causal20sc603 | 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: New figures at Companies House reveal that 'Labour Party Properties Limited' - a venture that owns 19 buildings across the UK - declared zero tax in 2018 despite profits of nearly £630,000. And it last paid money to the Treasury in 2003.
Answer: | noise | New figures at Companies House reveal that 'Labour Party Properties Limited' - a venture that owns 19 buildings across the UK - declared zero tax in 2018 despite profits of nearly £630,000. And it last paid money to the Treasury in 2003. | [
"noise",
"causal"
] | 0 |
causal20sc604 | 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: More than half of the property is rented on the open market while other buildings are leased to local Labour parties. Rental income in 2018 was £2.6 million but this was offset by deferred losses, property expenses totalling £1.7 million and admin costs of £265,000. The administration costs included a £102,000 interest charge … from the Labour Party.
Answer: | noise | More than half of the property is rented on the open market while other buildings are leased to local Labour parties. Rental income in 2018 was £2.6 million but this was offset by deferred losses, property expenses totalling £1.7 million and admin costs of £265,000. The administration costs included a £102,000 interest charge … from the Labour Party. | [
"noise",
"causal"
] | 0 |
causal20sc605 | 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: Experts claimed the administration costs appeared unusually high.
Answer: | noise | Experts claimed the administration costs appeared unusually high. | [
"noise",
"causal"
] | 0 |
causal20sc606 | 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 in the results, the company said: The directors consider the state of affairs to be satisfactory Tory backbencher Maria Caulfield said: This appears barefaced hypocrisy from Labour and is typical of their 'do as we say, but not as we do' approach.
Answer: | noise | But in the results, the company said: The directors consider the state of affairs to be satisfactory Tory backbencher Maria Caulfield said: This appears barefaced hypocrisy from Labour and is typical of their 'do as we say, but not as we do' approach. | [
"noise",
"causal"
] | 0 |
causal20sc607 | 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: Perhaps John McDonnell needs to start looking a bit closer to home.
Answer: | noise | Perhaps John McDonnell needs to start looking a bit closer to home. | [
"noise",
"causal"
] | 0 |
causal20sc608 | 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: Last week Labour's Shadow Chancellor said he was willing to send advisers to jail over tax avoidance.
Answer: | noise | Last week Labour's Shadow Chancellor said he was willing to send advisers to jail over tax avoidance. | [
"noise",
"causal"
] | 0 |
causal20sc609 | 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 sanctions still aren't great enough, he said. And he added: People are offended by the scale not just of tax evasion but of avoidance by some of the major companies.
Answer: | noise | The sanctions still aren't great enough, he said. And he added: People are offended by the scale not just of tax evasion but of avoidance by some of the major companies. | [
"noise",
"causal"
] | 0 |
causal20sc610 | 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: A Labour Party spokesman yesterday said: The Labour Party pays all tax that is due.
Answer: | noise | A Labour Party spokesman yesterday said: The Labour Party pays all tax that is due. | [
"noise",
"causal"
] | 0 |
causal20sc611 | 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 REITs Yielding Up To 11% (With Upside) by doctor 0 Comments News Share on Facebook Share on Twitter Share on Google+ Share on Pinterest Share on LinkedIn In a second, I'm going to reveal three real estate stocks that are much better than buying rental property of your own.
Answer: | noise | 3 REITs Yielding Up To 11% (With Upside) by doctor 0 Comments News Share on Facebook Share on Twitter Share on Google+ Share on Pinterest Share on LinkedIn In a second, I'm going to reveal three real estate stocks that are much better than buying rental property of your own. | [
"noise",
"causal"
] | 0 |
causal20sc612 | 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: Why? Because this trio: Pays a 9.3% dividend, on average - with one yielding an incredible 11%.
Answer: | noise | Why? Because this trio: Pays a 9.3% dividend, on average - with one yielding an incredible 11%. | [
"noise",
"causal"
] | 0 |
causal20sc613 | 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: I think you'll agree that this is a pretty tough return for most real landlords to get.
Answer: | noise | I think you'll agree that this is a pretty tough return for most real landlords to get. | [
"noise",
"causal"
] | 0 |
causal20sc614 | 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: Takes zero work - you just buy these property-focused stocks and collect your dividends (and price upside!), and … Gets you way more diversification than your typical basement apartment, semi-detached or box in the sky condo ever could. You may have caught on that I'm talking about real estate investment trusts (REITs).
Answer: | noise | Takes zero work - you just buy these property-focused stocks and collect your dividends (and price upside!), and … Gets you way more diversification than your typical basement apartment, semi-detached or box in the sky condo ever could. You may have caught on that I'm talking about real estate investment trusts (REITs). | [
"noise",
"causal"
] | 0 |
causal20sc615 | 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: REITs own a portfolio of properties - everything from cell towers to senior-care centers.
Answer: | noise | REITs own a portfolio of properties - everything from cell towers to senior-care centers. | [
"noise",
"causal"
] | 0 |
causal20sc616 | 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 two reasons why they pay you big dividends, like the 7%+ cash streams we'll dive into shortly: REITs are exempt from tax at the corporate level, but … To keep that tax exemption, they must pay 90% of their taxable income to shareholders as dividends.
Answer: | causal | There are two reasons why they pay you big dividends, like the 7%+ cash streams we'll dive into shortly: REITs are exempt from tax at the corporate level, but … To keep that tax exemption, they must pay 90% of their taxable income to shareholders as dividends. | [
"noise",
"causal"
] | 1 |
causal20sc617 | 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: Perhaps the biggest advantage REITs have over your typical rental abode is that they can be bought and sold on the open market, like any stock, at your usual trading (typically low, for online brokerages) fee.
Answer: | noise | Perhaps the biggest advantage REITs have over your typical rental abode is that they can be bought and sold on the open market, like any stock, at your usual trading (typically low, for online brokerages) fee. | [
"noise",
"causal"
] | 0 |
causal20sc618 | 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: Rental property, on the other hand, may not sell as fast as you'd like, and closing costs easily run into five figures. Now let's dive into the three REITs I have for you today, starting with … Preferred Apartment Communities (APTS) owns the same kind of real estate most regular folks do. But the scale, of course, is much larger: APTS owns or invests in apartment properties across the south, northeast and eastern seaboard.
Answer: | noise | Rental property, on the other hand, may not sell as fast as you'd like, and closing costs easily run into five figures. Now let's dive into the three REITs I have for you today, starting with … Preferred Apartment Communities (APTS) owns the same kind of real estate most regular folks do. But the scale, of course, is much larger: APTS owns or invests in apartment properties across the south, northeast and eastern seaboard. | [
"noise",
"causal"
] | 0 |
causal20sc619 | 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 gives it diversification your typical individual landlord doesn't have and helps insulate it from a downturn in any one market.
Answer: | noise | That gives it diversification your typical individual landlord doesn't have and helps insulate it from a downturn in any one market. | [
"noise",
"causal"
] | 0 |
causal20sc620 | 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's more, APTS, which yields 7.4% today, has a long history of outperformance.
Answer: | noise | What's more, APTS, which yields 7.4% today, has a long history of outperformance. | [
"noise",
"causal"
] | 0 |
causal20sc621 | 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: APTS has posted a 150.9% total return in the last decade, beating the SPDR Dow Jones REIT ETF (RWR) (an index fund that passively follows the REIT sector), by a huge margin. But here's the twist: APTS has also beaten average home-price growth, as measured by the Case-Shiller Home Price Index, by a lot more. Plus, APTS has its payouts well covered, thanks to a 133.5% dividend-coverage ratio, while income as measured by adjusted funds from operations (AFFO, a better measure for REITs than earnings per share) has been rising, thanks to more tenants and higher rents.
Answer: | noise | APTS has posted a 150.9% total return in the last decade, beating the SPDR Dow Jones REIT ETF (RWR) (an index fund that passively follows the REIT sector), by a huge margin. But here's the twist: APTS has also beaten average home-price growth, as measured by the Case-Shiller Home Price Index, by a lot more. Plus, APTS has its payouts well covered, thanks to a 133.5% dividend-coverage ratio, while income as measured by adjusted funds from operations (AFFO, a better measure for REITs than earnings per share) has been rising, thanks to more tenants and higher rents. | [
"noise",
"causal"
] | 0 |
causal20sc622 | 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: You can add commercial property to your apartment holdings with a REIT like Tanger Factory Outlet Centers (SKT), landlord to over 2,600 different shops.
Answer: | noise | You can add commercial property to your apartment holdings with a REIT like Tanger Factory Outlet Centers (SKT), landlord to over 2,600 different shops. | [
"noise",
"causal"
] | 0 |
causal20sc623 | 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: Tanger has succeeded in avoiding plunging retail sales caused by e-commerce, thanks to its focus on its niche of outlet stores that haven't faced as much online competition. Tanger's shares have pulled back in the last couple years, after the company's massive dividend growth (the payout is up 85% in the past decade) caused investors to get ahead of themselves and give it a huge valuation far above its competitors. But today, Tanger is more in tune with the rest of the market, making it worth any income investor's attention.
Answer: | noise | Tanger has succeeded in avoiding plunging retail sales caused by e-commerce, thanks to its focus on its niche of outlet stores that haven't faced as much online competition. Tanger's shares have pulled back in the last couple years, after the company's massive dividend growth (the payout is up 85% in the past decade) caused investors to get ahead of themselves and give it a huge valuation far above its competitors. But today, Tanger is more in tune with the rest of the market, making it worth any income investor's attention. | [
"noise",
"causal"
] | 0 |
causal20sc624 | 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's more, its revenues are still rising, and earnings results (based on FFO) have beaten expectations in 11 out of the last 12 quarters (and met expectations in that 12th quarter). The REIT's dividend now yields 9.4% and is still growing, with the latest hike just this past April.
Answer: | causal | What's more, its revenues are still rising, and earnings results (based on FFO) have beaten expectations in 11 out of the last 12 quarters (and met expectations in that 12th quarter). The REIT's dividend now yields 9.4% and is still growing, with the latest hike just this past April. | [
"noise",
"causal"
] | 1 |
causal20sc625 | 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 there's likely more to come, with Tanger's dividend-coverage ratio checking in at 180%, a figure far beyond what most REITs can boast.
Answer: | noise | And there's likely more to come, with Tanger's dividend-coverage ratio checking in at 180%, a figure far beyond what most REITs can boast. | [
"noise",
"causal"
] | 0 |
causal20sc626 | 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: Finally, you can get deeper into commercial real estate with a REIT like Global Net Lease (GNL), which focuses on industrial and office properties.
Answer: | noise | Finally, you can get deeper into commercial real estate with a REIT like Global Net Lease (GNL), which focuses on industrial and office properties. | [
"noise",
"causal"
] | 0 |
causal20sc627 | 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: GNL has geographic diversification in spades, with properties in both the US and Europe. That diversification is in part behind GNL's reliable dividend growth from 2015 to now, which is a gift for income investors: the REIT's yield is now 11%, making it one of the biggest-yielding property REITs in the world.
Answer: | causal | GNL has geographic diversification in spades, with properties in both the US and Europe. That diversification is in part behind GNL's reliable dividend growth from 2015 to now, which is a gift for income investors: the REIT's yield is now 11%, making it one of the biggest-yielding property REITs in the world. | [
"noise",
"causal"
] | 1 |
causal20sc628 | 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: Put all three of these REITs together and you have a diversified real-estate portfolio covering thousands of properties internationally, with a big average yield of 9.3%.
Answer: | causal | Put all three of these REITs together and you have a diversified real-estate portfolio covering thousands of properties internationally, with a big average yield of 9.3%. | [
"noise",
"causal"
] | 1 |
causal20sc629 | 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's impossible to get renting out a single house or condo - and it comes with far fewer headaches, too.
Answer: | noise | That's impossible to get renting out a single house or condo - and it comes with far fewer headaches, too. | [
"noise",
"causal"
] | 0 |
causal20sc630 | 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: Newsletter A A New Delhi: Tamil Nadu is offering total road tax exemption for electric two-wheelers, auto-rickshaws, cars and light-goods carriers used for commercial transport until end of December,2022, and several supply-side sops in a comprehensive push towards transition towards electric vehicles in its new EV policy unveiled today.
Answer: | noise | Newsletter A A New Delhi: Tamil Nadu is offering total road tax exemption for electric two-wheelers, auto-rickshaws, cars and light-goods carriers used for commercial transport until end of December,2022, and several supply-side sops in a comprehensive push towards transition towards electric vehicles in its new EV policy unveiled today. | [
"noise",
"causal"
] | 0 |
causal20sc631 | 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: ET had reported in August about Tamil Nadu planning a raft of incentives and exemptions for consumers and manufacturers with a 3-5 year validity period to encourage EV adoption in the state. For private electric car owners, the current road tax exemption will be enhanced from 50% to 100%.
Answer: | causal | ET had reported in August about Tamil Nadu planning a raft of incentives and exemptions for consumers and manufacturers with a 3-5 year validity period to encourage EV adoption in the state. For private electric car owners, the current road tax exemption will be enhanced from 50% to 100%. | [
"noise",
"causal"
] | 1 |
causal20sc632 | 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 policy envisages a dual role for the state role as an enabler in promoting private investment in charging stations, and also an investor on a public-private partnership model through state agencies such as the power utility Tangedco and private players.
Answer: | noise | The policy envisages a dual role for the state role as an enabler in promoting private investment in charging stations, and also an investor on a public-private partnership model through state agencies such as the power utility Tangedco and private players. | [
"noise",
"causal"
] | 0 |
causal20sc633 | 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: One charging station will be set up at 25 km intervals on both sides of NHAI and state highways, read the policy document uploaded on the state's website. State government offices in Chennai, Salem, Madurai, Trichy, Tirunelveli and other places will have charging stations. Private charging services providers are encouraged by the state to opt for renewable power sources like, say, solar power units, for the their power requirements, for which supply will be provided on a preferential basis with no connection costs.
Answer: | noise | One charging station will be set up at 25 km intervals on both sides of NHAI and state highways, read the policy document uploaded on the state's website. State government offices in Chennai, Salem, Madurai, Trichy, Tirunelveli and other places will have charging stations. Private charging services providers are encouraged by the state to opt for renewable power sources like, say, solar power units, for the their power requirements, for which supply will be provided on a preferential basis with no connection costs. | [
"noise",
"causal"
] | 0 |
causal20sc634 | 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: Electric vehicle manufacturers, components for the vehicles, batteries and producers for charging infrastructure who invest over Rs 50 crore and create at least 50 jobs stand eligible for total SGST (State GST) refund on their sales till end of calendar year 2030.
Answer: | causal | Electric vehicle manufacturers, components for the vehicles, batteries and producers for charging infrastructure who invest over Rs 50 crore and create at least 50 jobs stand eligible for total SGST (State GST) refund on their sales till end of calendar year 2030. | [
"noise",
"causal"
] | 1 |
causal20sc635 | 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 case where SGST refund is not applicable, the state is offering a 15% capital subsidy on investments made in Tamil Nadu till end of 2025.
Answer: | causal | In case where SGST refund is not applicable, the state is offering a 15% capital subsidy on investments made in Tamil Nadu till end of 2025. | [
"noise",
"causal"
] | 1 |
causal20sc636 | 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 policy also envisages electricity tax, stamp duty exemptions and subsidies on land for factories - the subsidy is as high as 50% should the manufacturer go for a plant in the southern districts, said the policy.
Answer: | causal | The policy also envisages electricity tax, stamp duty exemptions and subsidies on land for factories - the subsidy is as high as 50% should the manufacturer go for a plant in the southern districts, said the policy. | [
"noise",
"causal"
] | 1 |
causal20sc637 | 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 and construction laws will be amended to integrate provisions for charging infrastructure in the construction of apartment complexes and gated communities. At least 10% of Parking Space will be earmarked for EVs in commercial buildings such as hotels, shopping malls, cinema halls, apartments, etc. and charging stations will be set up in the earmarked space.
Answer: | noise | Building and construction laws will be amended to integrate provisions for charging infrastructure in the construction of apartment complexes and gated communities. At least 10% of Parking Space will be earmarked for EVs in commercial buildings such as hotels, shopping malls, cinema halls, apartments, etc. and charging stations will be set up in the earmarked space. | [
"noise",
"causal"
] | 0 |
causal20sc638 | 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 state has set up a steering committee comprising top bureaucrats across departments to monitor the implementation of the policy, with the industries department as the chief node for implementation.
Answer: | noise | The state has set up a steering committee comprising top bureaucrats across departments to monitor the implementation of the policy, with the industries department as the chief node for implementation. | [
"noise",
"causal"
] | 0 |
causal20sc639 | 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: DOWG THRE/PAR VTG FPD 0.001 Declares Dividend of GBX 5 (LON:DP3H) Tweet DOWG THRE/PAR VTG FPD 0.001 (LON:DP3H) declared a dividend on Friday, September 6th, Upcoming.Co.Uk reports. Investors of record on Thursday, October 17th will be paid a dividend of GBX 5 ($0.07) per share on Friday, November 8th. This represents a dividend yield of 12.66%.
Answer: | causal | DOWG THRE/PAR VTG FPD 0.001 Declares Dividend of GBX 5 (LON:DP3H) Tweet DOWG THRE/PAR VTG FPD 0.001 (LON:DP3H) declared a dividend on Friday, September 6th, Upcoming.Co.Uk reports. Investors of record on Thursday, October 17th will be paid a dividend of GBX 5 ($0.07) per share on Friday, November 8th. This represents a dividend yield of 12.66%. | [
"noise",
"causal"
] | 1 |
causal20sc640 | 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 17th. Shares of DOWG THRE/PAR VTG FPD 0.001 stock opened at GBX 39.50 ($0.52) on Monday. The stock has a market cap of $5.29 million and a price-to-earnings ratio of -1.37.
Answer: | noise | The ex-dividend date is Thursday, October 17th. Shares of DOWG THRE/PAR VTG FPD 0.001 stock opened at GBX 39.50 ($0.52) on Monday. The stock has a market cap of $5.29 million and a price-to-earnings ratio of -1.37. | [
"noise",
"causal"
] | 0 |
causal20sc641 | 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: DOWG THRE/PAR VTG FPD 0.001 has a 52 week low of GBX 0.44 ($0.01) and a 52 week high of GBX 75 ($0.98).
Answer: | noise | DOWG THRE/PAR VTG FPD 0.001 has a 52 week low of GBX 0.44 ($0.01) and a 52 week high of GBX 75 ($0.98). | [
"noise",
"causal"
] | 0 |
causal20sc642 | 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 firm has a 50 day moving average of GBX 34.38.
Answer: | noise | The firm has a 50 day moving average of GBX 34.38. | [
"noise",
"causal"
] | 0 |
causal20sc643 | 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: Santa Fe Financial (OTCMKTS:SFEF) & Ellington Financial (OTCMKTS:EFC) Critical Analysis Santa Fe Financial (OTCMKTS:SFEF) and Ellington Financial (NYSE:EFC) are both small-cap finance companies, but which is the better stock? We will compare the two companies based on the strength of their institutional ownership, risk, analyst recommendations, valuation, profitability, earnings and dividends. Institutional and Insider Ownership 50.5% of Ellington Financial shares are owned by institutional investors.
Answer: | noise | Santa Fe Financial (OTCMKTS:SFEF) & Ellington Financial (OTCMKTS:EFC) Critical Analysis Santa Fe Financial (OTCMKTS:SFEF) and Ellington Financial (NYSE:EFC) are both small-cap finance companies, but which is the better stock? We will compare the two companies based on the strength of their institutional ownership, risk, analyst recommendations, valuation, profitability, earnings and dividends. Institutional and Insider Ownership 50.5% of Ellington Financial shares are owned by institutional investors. | [
"noise",
"causal"
] | 0 |
causal20sc644 | 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: 85.9% of Santa Fe Financial shares are owned by insiders.
Answer: | noise | 85.9% of Santa Fe Financial shares are owned by insiders. | [
"noise",
"causal"
] | 0 |
causal20sc645 | 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: Comparatively, 12.1% of Ellington Financial shares are owned by insiders.
Answer: | noise | Comparatively, 12.1% of Ellington Financial shares are owned by insiders. | [
"noise",
"causal"
] | 0 |
causal20sc646 | 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: Strong institutional ownership is an indication that large money managers, endowments and hedge funds believe a company is poised for long-term growth. Dividends Ellington Financial pays an annual dividend of $1.68 per share and has a dividend yield of 9.3%.
Answer: | noise | Strong institutional ownership is an indication that large money managers, endowments and hedge funds believe a company is poised for long-term growth. Dividends Ellington Financial pays an annual dividend of $1.68 per share and has a dividend yield of 9.3%. | [
"noise",
"causal"
] | 0 |
causal20sc647 | 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: Santa Fe Financial does not pay a dividend.
Answer: | noise | Santa Fe Financial does not pay a dividend. | [
"noise",
"causal"
] | 0 |
causal20sc648 | 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: Ellington Financial pays out 119.1% of its earnings in the form of a dividend, suggesting it may not have sufficient earnings to cover its dividend payment in the future. Risk & Volatility Santa Fe Financial has a beta of 0.15, meaning that its stock price is 85% less volatile than the S&P 500. Comparatively, Ellington Financial has a beta of 0.42, meaning that its stock price is 58% less volatile than the S&P 500.
Answer: | noise | Ellington Financial pays out 119.1% of its earnings in the form of a dividend, suggesting it may not have sufficient earnings to cover its dividend payment in the future. Risk & Volatility Santa Fe Financial has a beta of 0.15, meaning that its stock price is 85% less volatile than the S&P 500. Comparatively, Ellington Financial has a beta of 0.42, meaning that its stock price is 58% less volatile than the S&P 500. | [
"noise",
"causal"
] | 0 |
causal20sc649 | 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: Valuation and Earnings This table compares Santa Fe Financial and Ellington Financial's gross revenue, earnings per share (EPS) and valuation. - - Gross Revenue - Price/Sales Ratio - Net Income - Earnings Per Share - Price/Earnings Ratio - Santa Fe Financial - $60.21 million - 0.81 - $3.26 million - N/A - N/A - Ellington Financial - $135.04 million - 4.50 - $46.68 million - $1.41 - 12.77 Ellington Financial has higher revenue and earnings than Santa Fe Financial. Profitability This table compares Santa Fe Financial and Ellington Financial's net margins, return on equity and return on assets.
Answer: | noise | Valuation and Earnings This table compares Santa Fe Financial and Ellington Financial's gross revenue, earnings per share (EPS) and valuation. - - Gross Revenue - Price/Sales Ratio - Net Income - Earnings Per Share - Price/Earnings Ratio - Santa Fe Financial - $60.21 million - 0.81 - $3.26 million - N/A - N/A - Ellington Financial - $135.04 million - 4.50 - $46.68 million - $1.41 - 12.77 Ellington Financial has higher revenue and earnings than Santa Fe Financial. Profitability This table compares Santa Fe Financial and Ellington Financial's net margins, return on equity and return on assets. | [
"noise",
"causal"
] | 0 |
causal20sc650 | 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: - - Net Margins - Return on Equity - Return on Assets - Santa Fe Financial - 5.41% - -4.65% - 4.78% - Ellington Financial - 21.99% - 8.70% - 1.52% Analyst Ratings This is a breakdown of current ratings for Santa Fe Financial and Ellington Financial, as reported by MarketBeat.com. - - Sell Ratings - Hold Ratings - Buy Ratings - Strong Buy Ratings - Rating Score - Santa Fe Financial - 0 - 0 - 0 - 0 - N/A - Ellington Financial - 0 - 1 - 1 - 0 - 2.50 Ellington Financial has a consensus price target of $19.00, indicating a potential upside of 5.50%.
Answer: | causal | - - Net Margins - Return on Equity - Return on Assets - Santa Fe Financial - 5.41% - -4.65% - 4.78% - Ellington Financial - 21.99% - 8.70% - 1.52% Analyst Ratings This is a breakdown of current ratings for Santa Fe Financial and Ellington Financial, as reported by MarketBeat.com. - - Sell Ratings - Hold Ratings - Buy Ratings - Strong Buy Ratings - Rating Score - Santa Fe Financial - 0 - 0 - 0 - 0 - N/A - Ellington Financial - 0 - 1 - 1 - 0 - 2.50 Ellington Financial has a consensus price target of $19.00, indicating a potential upside of 5.50%. | [
"noise",
"causal"
] | 1 |
causal20sc651 | 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: Given Ellington Financial's higher probable upside, analysts clearly believe Ellington Financial is more favorable than Santa Fe Financial. Summary Ellington Financial beats Santa Fe Financial on 10 of the 14 factors compared between the two stocks.
Answer: | noise | Given Ellington Financial's higher probable upside, analysts clearly believe Ellington Financial is more favorable than Santa Fe Financial. Summary Ellington Financial beats Santa Fe Financial on 10 of the 14 factors compared between the two stocks. | [
"noise",
"causal"
] | 0 |
causal20sc652 | 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: Santa Fe Financial Company Profile Santa Fe Financial Corporation owns and operates a hotel property in San Francisco, California. The company operates through three segments: Hotel Operations, Real Estate Operations, and Investment Transactions.
Answer: | noise | Santa Fe Financial Company Profile Santa Fe Financial Corporation owns and operates a hotel property in San Francisco, California. The company operates through three segments: Hotel Operations, Real Estate Operations, and Investment Transactions. | [
"noise",
"causal"
] | 0 |
causal20sc653 | 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: Its hotel property consists of 544 guest rooms and luxury suites, and related facilities, including a five level underground parking garage. The company also owns and operates a 27-unit and a 2-unit multi-family apartment complex located in Los Angeles, California, as well as owns land for development located in Maui, Hawaii and invests in marketable securities, such as corporate equities and bonds, and income producing securities.
Answer: | noise | Its hotel property consists of 544 guest rooms and luxury suites, and related facilities, including a five level underground parking garage. The company also owns and operates a 27-unit and a 2-unit multi-family apartment complex located in Los Angeles, California, as well as owns land for development located in Maui, Hawaii and invests in marketable securities, such as corporate equities and bonds, and income producing securities. | [
"noise",
"causal"
] | 0 |
causal20sc654 | 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 was formerly known as Tri Financial Corporation and changed its name to Santa Fe Financial Corporation in September 1970.
Answer: | noise | The company was formerly known as Tri Financial Corporation and changed its name to Santa Fe Financial Corporation in September 1970. | [
"noise",
"causal"
] | 0 |
causal20sc655 | 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 was founded in 1967 and is based in Los Angeles, California.
Answer: | noise | The company was founded in 1967 and is based in Los Angeles, California. | [
"noise",
"causal"
] | 0 |
causal20sc656 | 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: Santa Fe Financial Corporation is a subsidiary of The InterGroup Corporation.
Answer: | noise | Santa Fe Financial Corporation is a subsidiary of The InterGroup Corporation. | [
"noise",
"causal"
] | 0 |
causal20sc657 | 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: Ellington Financial Company Profile Ellington Financial LLC, through its subsidiary Ellington Financial Operating Partnership LLC, operates as a specialty finance company in the United States.
Answer: | noise | Ellington Financial Company Profile Ellington Financial LLC, through its subsidiary Ellington Financial Operating Partnership LLC, operates as a specialty finance company in the United States. | [
"noise",
"causal"
] | 0 |
causal20sc658 | 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 acquires and manages mortgage-related assets, including residential mortgage-backed securities (RMBS) backed by prime jumbo, Alt-A, manufactured housing, and subprime residential mortgage loans RMBS for which the principal and interest payments are guaranteed by the U.S. government agency or the U.S. government-sponsored entity residential mortgage loans commercial mortgage-backed securities commercial mortgage loans and other commercial real estate debt and residential mortgage loans.
Answer: | noise | The company acquires and manages mortgage-related assets, including residential mortgage-backed securities (RMBS) backed by prime jumbo, Alt-A, manufactured housing, and subprime residential mortgage loans RMBS for which the principal and interest payments are guaranteed by the U.S. government agency or the U.S. government-sponsored entity residential mortgage loans commercial mortgage-backed securities commercial mortgage loans and other commercial real estate debt and residential mortgage loans. | [
"noise",
"causal"
] | 0 |
causal20sc659 | 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 also provides collateralized loan obligations mortgage-related and non-mortgage-related derivatives equity investments in mortgage-related entities and other strategic investments, as well as invests in corporate debt and equity securities.
Answer: | noise | It also provides collateralized loan obligations mortgage-related and non-mortgage-related derivatives equity investments in mortgage-related entities and other strategic investments, as well as invests in corporate debt and equity securities. | [
"noise",
"causal"
] | 0 |
causal20sc660 | 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 addition, it offers consumer loans and asset-backed securities backed by consumer and commercial assets.
Answer: | noise | In addition, it offers consumer loans and asset-backed securities backed by consumer and commercial assets. | [
"noise",
"causal"
] | 0 |
causal20sc661 | 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: Ellington Financial LLC was founded in 2007 and is based in Old Greenwich, Connecticut.
Answer: | noise | Ellington Financial LLC was founded in 2007 and is based in Old Greenwich, Connecticut. | [
"noise",
"causal"
] | 0 |
causal20sc662 | 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: Saturday, September 14, 2019 Someone's sitting in the shade today because someone planted a tree a long time ago Today I'm going to show you how a modest investment in a single stock that is currently trading around 5 cents a share could generate a multimillion-dollar dream retirement in the coming years. The Healthcare stock I'm targeting will likely have percentage gains GREATER than IBM, Facebook and even Google for investors who buy in now... because this hidden gem is so under the radar trading for around 5 cents a share!
Answer: | noise | Saturday, September 14, 2019 Someone's sitting in the shade today because someone planted a tree a long time ago Today I'm going to show you how a modest investment in a single stock that is currently trading around 5 cents a share could generate a multimillion-dollar dream retirement in the coming years. The Healthcare stock I'm targeting will likely have percentage gains GREATER than IBM, Facebook and even Google for investors who buy in now... because this hidden gem is so under the radar trading for around 5 cents a share! | [
"noise",
"causal"
] | 0 |
causal20sc663 | 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: I call it the Single-Stock Retirement Plan. Some might find the idea of retiring on one stock outlandish, yet many thousands of Americans have already done it.
Answer: | noise | I call it the Single-Stock Retirement Plan. Some might find the idea of retiring on one stock outlandish, yet many thousands of Americans have already done it. | [
"noise",
"causal"
] | 0 |
causal20sc664 | 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 fact, as you're about to see, the 20 wealthiest men and women in America today made their fortunes thanks largely to a single stock.
Answer: | causal | In fact, as you're about to see, the 20 wealthiest men and women in America today made their fortunes thanks largely to a single stock. | [
"noise",
"causal"
] | 1 |
causal20sc665 | 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 before I tell you the name of this stock, let's get one thing straight.
Answer: | noise | But before I tell you the name of this stock, let's get one thing straight. | [
"noise",
"causal"
] | 0 |
causal20sc666 | 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: If you're going to retire on one stock, it has to be...
Answer: | noise | If you're going to retire on one stock, it has to be... | [
"noise",
"causal"
] | 0 |
causal20sc667 | 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 Perfect Stock.
Answer: | noise | The Perfect Stock. | [
"noise",
"causal"
] | 0 |
causal20sc668 | 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: So the first question is... If you were putting together your own perfect dream stock, what would it look like?
Answer: | noise | So the first question is... If you were putting together your own perfect dream stock, what would it look like? | [
"noise",
"causal"
] | 0 |
causal20sc669 | 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 would probably be a leader in cutting-edge technology that changes the way we live... just like Apple, Amazon, Google, Facebook and Netflix did. It would be recession proof, be the leader in its sector having disruptive technology and have breakthrough products with customers pounding down their doors.
Answer: | noise | It would probably be a leader in cutting-edge technology that changes the way we live... just like Apple, Amazon, Google, Facebook and Netflix did. It would be recession proof, be the leader in its sector having disruptive technology and have breakthrough products with customers pounding down their doors. | [
"noise",
"causal"
] | 0 |
causal20sc670 | 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 would have hundreds of millions of dollars in future sales and profits - not just expected, but guaranteed due to the nature of its business. It would also be on the verge of dozens of upcoming blockbuster announcements that could drive the price into the stratosphere. But most of all...
Answer: | noise | It would have hundreds of millions of dollars in future sales and profits - not just expected, but guaranteed due to the nature of its business. It would also be on the verge of dozens of upcoming blockbuster announcements that could drive the price into the stratosphere. But most of all... | [
"noise",
"causal"
] | 0 |
causal20sc671 | 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 is ONE KEY ELEMENT to a perfect stock... It has to be undiscovered.
Answer: | noise | There is ONE KEY ELEMENT to a perfect stock... It has to be undiscovered. | [
"noise",
"causal"
] | 0 |
causal20sc672 | 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: Not one in 50,000 regular investors should know about it. The perfect stock would also trade for just pennies a share. That way you can get in cheap and ride it to untold dollars per share.
Answer: | noise | Not one in 50,000 regular investors should know about it. The perfect stock would also trade for just pennies a share. That way you can get in cheap and ride it to untold dollars per share. | [
"noise",
"causal"
] | 0 |
causal20sc673 | 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, it may seem improbable that such a stock actually exists. But it does.
Answer: | noise | Now, it may seem improbable that such a stock actually exists. But it does. | [
"noise",
"causal"
] | 0 |
causal20sc674 | 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: I only recently uncovered it.
Answer: | noise | I only recently uncovered it. | [
"noise",
"causal"
] | 0 |
causal20sc675 | 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 if you move quickly - before an upcoming blockbuster announcement - this 5 cent stock could hand you the kind of carefree retirement most people only dream about. Let me quickly explain why this explosive investment opportunity in this little known Healthcare stock should make up your Single-Stock Retirement Plan.
Answer: | noise | And if you move quickly - before an upcoming blockbuster announcement - this 5 cent stock could hand you the kind of carefree retirement most people only dream about. Let me quickly explain why this explosive investment opportunity in this little known Healthcare stock should make up your Single-Stock Retirement Plan. | [
"noise",
"causal"
] | 0 |
causal20sc676 | 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 I'm about to tell you about is revolutionizing the Healthcare industry!
Answer: | noise | The company I'm about to tell you about is revolutionizing the Healthcare industry! | [
"noise",
"causal"
] | 0 |
causal20sc677 | 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 under the radar Healthcare company is so SUCCESSFUL they have created the next generation of pharmacy care. Rite-Aid, Walgreens and CVS don't even come close!
Answer: | noise | This under the radar Healthcare company is so SUCCESSFUL they have created the next generation of pharmacy care. Rite-Aid, Walgreens and CVS don't even come close! | [
"noise",
"causal"
] | 0 |
causal20sc678 | 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: To get an idea of how incredibly successful their business model is consider this, NUMBERS DON'T LIE, their per store pharmaceutical revenues EXCEEDS Walgreens, CVS and Rite-Aid revenues COMBINED!
Answer: | noise | To get an idea of how incredibly successful their business model is consider this, NUMBERS DON'T LIE, their per store pharmaceutical revenues EXCEEDS Walgreens, CVS and Rite-Aid revenues COMBINED! | [
"noise",
"causal"
] | 0 |
causal20sc679 | 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 cash is and will continue to flow in at record rates.
Answer: | noise | The cash is and will continue to flow in at record rates. | [
"noise",
"causal"
] | 0 |
causal20sc680 | 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: Future sales and profits for this cutting edge Healthcare company will be in the hundreds of millions With the share price currently around 5 cents, now it is the buy shares! Undoubtedly the share price will likely to increase substantially in the months ahead.
Answer: | noise | Future sales and profits for this cutting edge Healthcare company will be in the hundreds of millions With the share price currently around 5 cents, now it is the buy shares! Undoubtedly the share price will likely to increase substantially in the months ahead. | [
"noise",
"causal"
] | 0 |
causal20sc681 | 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 short, this company meets every metric you could want in a perfect stock.
Answer: | noise | In short, this company meets every metric you could want in a perfect stock. | [
"noise",
"causal"
] | 0 |
causal20sc682 | 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 most astonishing of all, it trades for around 5 cents a share... for those who get in now. It's set to pay off with countless millions in new revenues....
Answer: | noise | And most astonishing of all, it trades for around 5 cents a share... for those who get in now. It's set to pay off with countless millions in new revenues.... | [
"noise",
"causal"
] | 0 |
causal20sc683 | 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: THOUSANDS OF NEW DOCTORS and PATIENTS are ALREADY switching to them. And yet I estimate that there's a less than one-in-50,000 chance that you own the stock or have even considered owning it.
Answer: | noise | THOUSANDS OF NEW DOCTORS and PATIENTS are ALREADY switching to them. And yet I estimate that there's a less than one-in-50,000 chance that you own the stock or have even considered owning it. | [
"noise",
"causal"
] | 0 |
causal20sc684 | 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's why the stock is still incredibly cheap and unknown. But here's the big secret that could help you fund your dream retirement.
Answer: | noise | That's why the stock is still incredibly cheap and unknown. But here's the big secret that could help you fund your dream retirement. | [
"noise",
"causal"
] | 0 |
causal20sc685 | 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: You can buy this 5 cent Biotech from any regular brokerage account.... but only if you know its name. (Which I'm prepared to give you now.)
Answer: | noise | You can buy this 5 cent Biotech from any regular brokerage account.... but only if you know its name. (Which I'm prepared to give you now.) | [
"noise",
"causal"
] | 0 |
causal20sc686 | 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: Keep in mind...you'll need to move extremely fast. The company has received a Best In Class 5 star rating from major insurance carriers and Humana has ranked the company in the TOP 10% in the NATION! In July 2019 the company's revenues exploded upwards by a WHOPPING 88% ....and this amazing under the radar Healthcare company filled 46,000 prescriptions in July alone!
Answer: | noise | Keep in mind...you'll need to move extremely fast. The company has received a Best In Class 5 star rating from major insurance carriers and Humana has ranked the company in the TOP 10% in the NATION! In July 2019 the company's revenues exploded upwards by a WHOPPING 88% ....and this amazing under the radar Healthcare company filled 46,000 prescriptions in July alone! | [
"noise",
"causal"
] | 0 |
causal20sc687 | 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: So far In 2019 EVERY single month the company has continued to post NEW RECORD REVENUES On June 1st 2019 the company doubled its NET revenues to over $40 million with TWO more successful acquisitions in Florida.
Answer: | causal | So far In 2019 EVERY single month the company has continued to post NEW RECORD REVENUES On June 1st 2019 the company doubled its NET revenues to over $40 million with TWO more successful acquisitions in Florida. | [
"noise",
"causal"
] | 1 |
causal20sc688 | 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 CEO has announced that expansion plans into to the population dense I-4 corridor of Florida, including Tampa, Orlando and Daytona areas......and ALSO expansion plans into Atlanta, Georgia and up the Eastern Seaboard to New York As this expansion unfolds, investors across America will be buzzing with excitement as they finally discover the astonishing upside potential and the secret identity of this breakthrough company. But you'll already be on your way to a dream retirement... all because you scooped up this obscure 5 cent stock already.
Answer: | noise | The CEO has announced that expansion plans into to the population dense I-4 corridor of Florida, including Tampa, Orlando and Daytona areas......and ALSO expansion plans into Atlanta, Georgia and up the Eastern Seaboard to New York As this expansion unfolds, investors across America will be buzzing with excitement as they finally discover the astonishing upside potential and the secret identity of this breakthrough company. But you'll already be on your way to a dream retirement... all because you scooped up this obscure 5 cent stock already. | [
"noise",
"causal"
] | 0 |
causal20sc689 | 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: I've never recommended something like this before.... Before I give you the full details and name of this stock, let me tell you a bit about what I do.
Answer: | noise | I've never recommended something like this before.... Before I give you the full details and name of this stock, let me tell you a bit about what I do. | [
"noise",
"causal"
] | 0 |
causal20sc690 | 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: I select extremely undervalued stocks and publish them on my stock blogs and social media accounts. I'm dedicated to helping level the playing field for the small investor.
Answer: | noise | I select extremely undervalued stocks and publish them on my stock blogs and social media accounts. I'm dedicated to helping level the playing field for the small investor. | [
"noise",
"causal"
] | 0 |
causal20sc691 | 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: Are you tired of picking losing stocks?
Answer: | noise | Are you tired of picking losing stocks? | [
"noise",
"causal"
] | 0 |
causal20sc692 | 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: I have an outstanding and verifiable winning track record of finding extremely undervalued stocks. Over the years so many of my stock selections have had explosive percentage gains, if you'd held positions in them they could have been the single stock you retired on. This Healthcare stock that currently trades around 5 cents and that I'm about to reveal to you will be no different....
Answer: | noise | I have an outstanding and verifiable winning track record of finding extremely undervalued stocks. Over the years so many of my stock selections have had explosive percentage gains, if you'd held positions in them they could have been the single stock you retired on. This Healthcare stock that currently trades around 5 cents and that I'm about to reveal to you will be no different.... | [
"noise",
"causal"
] | 0 |
causal20sc693 | 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 share price is only going to keep rising. Once it receives exposure on my financial blogs the share price is going to soar much higher.
Answer: | noise | it's share price is only going to keep rising. Once it receives exposure on my financial blogs the share price is going to soar much higher. | [
"noise",
"causal"
] | 0 |
causal20sc694 | 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 thousands of daily visitors to my financial blogs it is going to receive massive exposure, now is the time to buy this single retirement stock.
Answer: | noise | With thousands of daily visitors to my financial blogs it is going to receive massive exposure, now is the time to buy this single retirement stock. | [
"noise",
"causal"
] | 0 |
causal20sc695 | 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 5 cent Healthcare stock I've selected as my next single retirement stock is the CREAM OF THE CROP.
Answer: | noise | This 5 cent Healthcare stock I've selected as my next single retirement stock is the CREAM OF THE CROP. | [
"noise",
"causal"
] | 0 |
causal20sc696 | 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 little-known stock is waiting to be discovered by Wall Street. A wonderful company that is employing real people, generating millions upon millions in real revenues and providing a real service in the communities they serve.
Answer: | noise | This little-known stock is waiting to be discovered by Wall Street. A wonderful company that is employing real people, generating millions upon millions in real revenues and providing a real service in the communities they serve. | [
"noise",
"causal"
] | 0 |
causal20sc697 | 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: FINALLY before I reveal the name of this amazing little known stock to you, see how retiring on a single stock is more common than you'd think.
Answer: | noise | FINALLY before I reveal the name of this amazing little known stock to you, see how retiring on a single stock is more common than you'd think. | [
"noise",
"causal"
] | 0 |
causal20sc698 | 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: If you look at the world's 20 richest people...
Answer: | noise | If you look at the world's 20 richest people... | [
"noise",
"causal"
] | 0 |
causal20sc699 | 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: every one of them made a fortune not by diversifying into hundreds of stocks...
Answer: | noise | every one of them made a fortune not by diversifying into hundreds of stocks... | [
"noise",
"causal"
] | 0 |