id
stringlengths 11
14
| query
stringlengths 314
8.5k
| answer
stringclasses 2
values | text
stringlengths 1
8.19k
| choices
sequence | gold
int64 0
1
|
|---|---|---|---|---|---|
causal20sc7500 | 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 global entertainment company expects to raise some $600m.
Answer: | noise | The global entertainment company expects to raise some $600m. | [
"noise",
"causal"
] | 0 |
causal20sc7501 | 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 in Trainline, one of this year's most successful UK IPOs, plunged on Friday as investors cashed in some of their gains.
Answer: | noise | Shares in Trainline, one of this year's most successful UK IPOs, plunged on Friday as investors cashed in some of their gains. | [
"noise",
"causal"
] | 0 |
causal20sc7502 | 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: Private equity group KKR and other investors sold shares equivalent to 14% of the group's share capital to institutional investors. Following the falls, the shares are still up 26% since flotation.
Answer: | causal | Private equity group KKR and other investors sold shares equivalent to 14% of the group's share capital to institutional investors. Following the falls, the shares are still up 26% since flotation. | [
"noise",
"causal"
] | 1 |
causal20sc7503 | 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: Website infrastructure and security company Cloudflare went public on 13 September.
Answer: | noise | Website infrastructure and security company Cloudflare went public on 13 September. | [
"noise",
"causal"
] | 0 |
causal20sc7504 | 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 IPO priced at $15/share, which was above the initial range of $10-$12 per share.
Answer: | noise | The IPO priced at $15/share, which was above the initial range of $10-$12 per share. | [
"noise",
"causal"
] | 0 |
causal20sc7505 | 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: Since flotation, the shares are up 25%.
Answer: | causal | Since flotation, the shares are up 25%. | [
"noise",
"causal"
] | 1 |
causal20sc7506 | 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: M&A Shareholders in defence giant Cobham overwhelmingly supported a controversial £4bn takeover by US private-equity giant Advent.
Answer: | noise | M&A Shareholders in defence giant Cobham overwhelmingly supported a controversial £4bn takeover by US private-equity giant Advent. | [
"noise",
"causal"
] | 0 |
causal20sc7507 | 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 takeover was opposed in a vocal campaign by former Cobham senior managers and some members of the family of its late founder Sir Alan Cobham.
Answer: | noise | The takeover was opposed in a vocal campaign by former Cobham senior managers and some members of the family of its late founder Sir Alan Cobham. | [
"noise",
"causal"
] | 0 |
causal20sc7508 | 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 claimed the deal could jeopardise national security and feared it would threaten major UK job losses. Indeed, after the shareholder vote, Whitehall intervened. The government said it wanted to support private sector innovation whilst safeguarding public interest.
Answer: | noise | They claimed the deal could jeopardise national security and feared it would threaten major UK job losses. Indeed, after the shareholder vote, Whitehall intervened. The government said it wanted to support private sector innovation whilst safeguarding public interest. | [
"noise",
"causal"
] | 0 |
causal20sc7509 | 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 Competition and Markets Authority (CMA) will now investigate the deal and carry out a review on the national security implications of the transaction.
Answer: | noise | The Competition and Markets Authority (CMA) will now investigate the deal and carry out a review on the national security implications of the transaction. | [
"noise",
"causal"
] | 0 |
causal20sc7510 | 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: JD Sports' takeover of Footasylum is facing greater scrutiny after the competition watchdog warned it could result in a worse shopping experience for customers. The CMA will refer the £90m deal to a phase 2 investigation, taking a more in-depth look at the tie-up.
Answer: | noise | JD Sports' takeover of Footasylum is facing greater scrutiny after the competition watchdog warned it could result in a worse shopping experience for customers. The CMA will refer the £90m deal to a phase 2 investigation, taking a more in-depth look at the tie-up. | [
"noise",
"causal"
] | 0 |
causal20sc7511 | 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: UK insurance services firm Charles Taylor agreed to a £261m takeover, representing a 34% premium to its undisturbed share price.
Answer: | noise | UK insurance services firm Charles Taylor agreed to a £261m takeover, representing a 34% premium to its undisturbed share price. | [
"noise",
"causal"
] | 0 |
causal20sc7512 | 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: Management described the offer from private equity house Lovell Minnick as compelling. The head of the London Stock Exchange mounted a staunch defence of its £22bn takeover of data business Refinitiv in his first comments since the Hong Kong exchange launched a bid for the exchange.
Answer: | noise | Management described the offer from private equity house Lovell Minnick as compelling. The head of the London Stock Exchange mounted a staunch defence of its £22bn takeover of data business Refinitiv in his first comments since the Hong Kong exchange launched a bid for the exchange. | [
"noise",
"causal"
] | 0 |
causal20sc7513 | 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: David Schwimmer said the Refinitiv deal was a transaction LSE felt very good about because it was a very strong fit strategically. Profit warnings Eddie Stobart Logistics warned its underlying profits for 2019 will be significantly below expectations.
Answer: | noise | David Schwimmer said the Refinitiv deal was a transaction LSE felt very good about because it was a very strong fit strategically. Profit warnings Eddie Stobart Logistics warned its underlying profits for 2019 will be significantly below expectations. | [
"noise",
"causal"
] | 0 |
causal20sc7514 | 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 month the haulage group suspended its shares and announced its chief executive Alex Laffey was standing down with immediate effect after it discovered a multi-million pound accounting error.
Answer: | noise | Last month the haulage group suspended its shares and announced its chief executive Alex Laffey was standing down with immediate effect after it discovered a multi-million pound accounting error. | [
"noise",
"causal"
] | 0 |
causal20sc7515 | 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: Management also confirmed reports it had received a takeover offer from one of its shareholders.
Answer: | noise | Management also confirmed reports it had received a takeover offer from one of its shareholders. | [
"noise",
"causal"
] | 0 |
causal20sc7516 | 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 shares remain suspended.
Answer: | noise | The shares remain suspended. | [
"noise",
"causal"
] | 0 |
causal20sc7517 | 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: Investec warned that interim profits were likely to fall due to challenging conditions, with earnings per share up to 18% below the previous year.
Answer: | noise | Investec warned that interim profits were likely to fall due to challenging conditions, with earnings per share up to 18% below the previous year. | [
"noise",
"causal"
] | 0 |
causal20sc7518 | 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: Recruiter Staffline swung to a near £8m loss in the first half of 2019 as it warned of a slowdown in new business contracts that would see its annual operating profit fall to £20m.
Answer: | causal | Recruiter Staffline swung to a near £8m loss in the first half of 2019 as it warned of a slowdown in new business contracts that would see its annual operating profit fall to £20m. | [
"noise",
"causal"
] | 1 |
causal20sc7519 | 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: Mangement admitted a delay in publishing its last set of annual results created uncertainty among customers. Auditor PwC resigned shortly after.
Answer: | noise | Mangement admitted a delay in publishing its last set of annual results created uncertainty among customers. Auditor PwC resigned shortly after. | [
"noise",
"causal"
] | 0 |
causal20sc7520 | 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 US, FedEx, regarded as an economic bellwether, cut its full-year outlook.
Answer: | noise | In the US, FedEx, regarded as an economic bellwether, cut its full-year outlook. | [
"noise",
"causal"
] | 0 |
causal20sc7521 | 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 delivery company on Tuesday posted a slight revenue decline and a 12% drop in operating income for the three months ending 31 August after the group lost a contract with Amazon. The cut in earnings guidance was blamed on losing a large customer, as well as global trade tensions and a weakening global economic outlook.
Answer: | causal | The delivery company on Tuesday posted a slight revenue decline and a 12% drop in operating income for the three months ending 31 August after the group lost a contract with Amazon. The cut in earnings guidance was blamed on losing a large customer, as well as global trade tensions and a weakening global economic outlook. | [
"noise",
"causal"
] | 1 |
causal20sc7522 | 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: Technology Apple challenged a $14bn tax charge from the European Commission in the EU's second-highest court, escalating the landmark tax fight between the iPhone maker and the EU regulator.
Answer: | noise | Technology Apple challenged a $14bn tax charge from the European Commission in the EU's second-highest court, escalating the landmark tax fight between the iPhone maker and the EU regulator. | [
"noise",
"causal"
] | 0 |
causal20sc7523 | 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 August 2016, EU Competition Commissioner Margrethe Vestager ordered Apple to pay back taxes to Ireland, saying the company had received illegal tax benefits over the course of two decades. Both the Irish government and Apple have appealed the order.
Answer: | noise | In August 2016, EU Competition Commissioner Margrethe Vestager ordered Apple to pay back taxes to Ireland, saying the company had received illegal tax benefits over the course of two decades. Both the Irish government and Apple have appealed the order. | [
"noise",
"causal"
] | 0 |
causal20sc7524 | 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 decision isn't likely for months. Facebook unveiled its plan to create an independent oversight board to make decisions over how the network is moderated.
Answer: | noise | A decision isn't likely for months. Facebook unveiled its plan to create an independent oversight board to make decisions over how the network is moderated. | [
"noise",
"causal"
] | 0 |
causal20sc7525 | 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 social media giant insisted the panel, which will hear its first cases in 2020, will have power to override decisions it makes over contentious material and influence new policy. The idea, dubbed the Facebook supreme court, will eventually comprise of 40 people around the world.
Answer: | noise | The social media giant insisted the panel, which will hear its first cases in 2020, will have power to override decisions it makes over contentious material and influence new policy. The idea, dubbed the Facebook supreme court, will eventually comprise of 40 people around the world. | [
"noise",
"causal"
] | 0 |
causal20sc7526 | 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: Microsoft authorised another $40bn for share buybacks and said it will up its quarterly dividend by 5 cents to 51 cents a share.
Answer: | noise | Microsoft authorised another $40bn for share buybacks and said it will up its quarterly dividend by 5 cents to 51 cents a share. | [
"noise",
"causal"
] | 0 |
causal20sc7527 | 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: Energy The oil price spiked after cruise missiles and drones inflicted substantial damage on the world's largest oil processing plant at Abqaiq. Donald Trump has not definitely stated that Iran was behind the strikes, but others in his administration have pinned blame on Tehran. Iran has denied responsibility for Saturday's attack, which knocked out more than half of crude output from the world's top exporter - 5% of global oil supply - and cut output by 5.7 million barrels per day.
Answer: | causal | Energy The oil price spiked after cruise missiles and drones inflicted substantial damage on the world's largest oil processing plant at Abqaiq. Donald Trump has not definitely stated that Iran was behind the strikes, but others in his administration have pinned blame on Tehran. Iran has denied responsibility for Saturday's attack, which knocked out more than half of crude output from the world's top exporter - 5% of global oil supply - and cut output by 5.7 million barrels per day. | [
"noise",
"causal"
] | 1 |
causal20sc7528 | 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: Iran's foreign minister warned that any strike would lead to all-out war. Brent crude futures rose 7.2% over the week by mid-session on Friday to trade at about $64.50 a barrel.
Answer: | noise | Iran's foreign minister warned that any strike would lead to all-out war. Brent crude futures rose 7.2% over the week by mid-session on Friday to trade at about $64.50 a barrel. | [
"noise",
"causal"
] | 0 |
causal20sc7529 | 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: Tullow Oil plans to drill three or more oil exploration wells in Guyana next year, its chief executive Paul McDade said, after the FTSE 250 group announced its second oil discovery in the country this year.
Answer: | noise | Tullow Oil plans to drill three or more oil exploration wells in Guyana next year, its chief executive Paul McDade said, after the FTSE 250 group announced its second oil discovery in the country this year. | [
"noise",
"causal"
] | 0 |
causal20sc7530 | 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: Mining Is this the end of the line for Sirius Minerals? The miner has long been trying to develop a fertiliser mine near Whitby in North Yorkshire, saw its shares slump again after it abandoned its £500m bond sale for good.
Answer: | noise | Mining Is this the end of the line for Sirius Minerals? The miner has long been trying to develop a fertiliser mine near Whitby in North Yorkshire, saw its shares slump again after it abandoned its £500m bond sale for good. | [
"noise",
"causal"
] | 0 |
causal20sc7531 | 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 August, the company postponed the sale due to market conditions. However, management said the debt offering was now unlikely to be achievable due to market conditions, the ongoing uncertainty surrounding Brexit and the political environment in the United Kingdom.
Answer: | noise | In August, the company postponed the sale due to market conditions. However, management said the debt offering was now unlikely to be achievable due to market conditions, the ongoing uncertainty surrounding Brexit and the political environment in the United Kingdom. | [
"noise",
"causal"
] | 0 |
causal20sc7532 | 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 left funding for the project in doubt and management have scaled back construction work and plan a strategic review of the project.
Answer: | noise | This left funding for the project in doubt and management have scaled back construction work and plan a strategic review of the project. | [
"noise",
"causal"
] | 0 |
causal20sc7533 | 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: Under the terms of its funding agreement signed with JP Morgan earlier this year, Sirius agreed to issue bonds worth $500m to unlock the full $2.5bn revolving credit facility.
Answer: | causal | Under the terms of its funding agreement signed with JP Morgan earlier this year, Sirius agreed to issue bonds worth $500m to unlock the full $2.5bn revolving credit facility. | [
"noise",
"causal"
] | 1 |
causal20sc7534 | 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: Diamonds appear to have lost their sparkle in 2019. Weak gemstone prices resulted in annual profits at Petra Diamonds falling by more than a fifth.
Answer: | noise | Diamonds appear to have lost their sparkle in 2019. Weak gemstone prices resulted in annual profits at Petra Diamonds falling by more than a fifth. | [
"noise",
"causal"
] | 0 |
causal20sc7535 | 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 shares are now down more than 80% in the year-to-date.
Answer: | noise | Its shares are now down more than 80% in the year-to-date. | [
"noise",
"causal"
] | 0 |
causal20sc7536 | 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: Two current and one former trader in precious metals at JP Morgan Chase have been charged with manipulating futures markets in what prosecutors described as a massive, multi-year conspiracy run out of the bank.
Answer: | noise | Two current and one former trader in precious metals at JP Morgan Chase have been charged with manipulating futures markets in what prosecutors described as a massive, multi-year conspiracy run out of the bank. | [
"noise",
"causal"
] | 0 |
causal20sc7537 | 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 US Justice Department said three men ripped off market participants and even clients as they illegally moved prices for gold, silver, platinum and palladium.
Answer: | noise | The US Justice Department said three men ripped off market participants and even clients as they illegally moved prices for gold, silver, platinum and palladium. | [
"noise",
"causal"
] | 0 |
causal20sc7538 | 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: Supermarkets The latest grocery market share figures from market researcher Kantar showed year-on-year supermarket sales returned to growth during the past 12 weeks. While overall sales grew by 0.5%, volume sales remained flat.
Answer: | noise | Supermarkets The latest grocery market share figures from market researcher Kantar showed year-on-year supermarket sales returned to growth during the past 12 weeks. While overall sales grew by 0.5%, volume sales remained flat. | [
"noise",
"causal"
] | 0 |
causal20sc7539 | 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 we move closer to 31 October, it seems talk about stockpiling might be just that, because we're not seeing any evidence of it at the moment.
Answer: | noise | As we move closer to 31 October, it seems talk about stockpiling might be just that, because we're not seeing any evidence of it at the moment. | [
"noise",
"causal"
] | 0 |
causal20sc7540 | 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, households bought 0.9% fewer items during the past 12 weeks than they did last year, Kantar said. The latest market share figures can be seen in the chart below.
Answer: | noise | In fact, households bought 0.9% fewer items during the past 12 weeks than they did last year, Kantar said. The latest market share figures can be seen in the chart below. | [
"noise",
"causal"
] | 0 |
causal20sc7541 | 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: German discounter Aldi plans to open a new store in the UK every week on average for the next two years, investing £1bn in the process. UK sales rose 11% in 2018 to £11.3bn, but profits were dented by its investment in expansion in London and pricing. Ocado Retail, a joint venture between Ocado and Marks & Spencer, released a trading statement.
Answer: | noise | German discounter Aldi plans to open a new store in the UK every week on average for the next two years, investing £1bn in the process. UK sales rose 11% in 2018 to £11.3bn, but profits were dented by its investment in expansion in London and pricing. Ocado Retail, a joint venture between Ocado and Marks & Spencer, released a trading statement. | [
"noise",
"causal"
] | 0 |
causal20sc7542 | 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 13 weeks to 1 September, retail revenue rose 11.4% - which it said was in line with guidance - and while average orders per week is up, the average order size is down 0.8%, reflecting slightly greater frequency of purchase.
Answer: | noise | In the 13 weeks to 1 September, retail revenue rose 11.4% - which it said was in line with guidance - and while average orders per week is up, the average order size is down 0.8%, reflecting slightly greater frequency of purchase. | [
"noise",
"causal"
] | 0 |
causal20sc7543 | 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: Other retail UK retail sales defied expectations and fell in August, as British shoppers bought fewer goods than in July. Retail sales fell by 0.2% in August month-on-month after a 0.4% rise in July, figures from the Office for National Statistics (ONS) showed.
Answer: | causal | Other retail UK retail sales defied expectations and fell in August, as British shoppers bought fewer goods than in July. Retail sales fell by 0.2% in August month-on-month after a 0.4% rise in July, figures from the Office for National Statistics (ONS) showed. | [
"noise",
"causal"
] | 1 |
causal20sc7544 | 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: Economists had expected zero growth. High street stalwart Next reported a rise in pre-tax profits and sales in the first half of the year, as the retailer shrugged off tough trading conditions on the high street. However, its shares fell after management flagged a weak start to the autumn season as a result of the warm weather.
Answer: | noise | Economists had expected zero growth. High street stalwart Next reported a rise in pre-tax profits and sales in the first half of the year, as the retailer shrugged off tough trading conditions on the high street. However, its shares fell after management flagged a weak start to the autumn season as a result of the warm weather. | [
"noise",
"causal"
] | 0 |
causal20sc7545 | 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: B&Q owner Kingfisher posted a disappointing set of interim figures, as the UK and France continued to underperform.
Answer: | noise | B&Q owner Kingfisher posted a disappointing set of interim figures, as the UK and France continued to underperform. | [
"noise",
"causal"
] | 0 |
causal20sc7546 | 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 retailer also said that its outgoing chief executive Véronique Laury was struggling to sell the group's Russian and Iberian businesses.
Answer: | noise | The retailer also said that its outgoing chief executive Véronique Laury was struggling to sell the group's Russian and Iberian businesses. | [
"noise",
"causal"
] | 0 |
causal20sc7547 | 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: Ms Laury, who is due to step down on 24 September, is attempting to offload the division before her departure. She will be succeeded by Carrefour executive Thierry Garnier.
Answer: | noise | Ms Laury, who is due to step down on 24 September, is attempting to offload the division before her departure. She will be succeeded by Carrefour executive Thierry Garnier. | [
"noise",
"causal"
] | 0 |
causal20sc7548 | 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: Footwear retailer Schuh, owned by US group Genesco, is the latest retailer to seek rent reductions after it drafted in a consultancy, Capa, to explore how it can save money across its 132-strong store estate, according to The Times. French Connection said it expected the sale process of the British clothing retailer to be completed by the end of the year, as it reported a smaller first-half operating loss on growth in its wholesale business in the US. Consumer Demand for birthday cakes featuring Disney characters licenced to the group helped to boost sales at bakery group Finsbury Food.
Answer: | noise | Footwear retailer Schuh, owned by US group Genesco, is the latest retailer to seek rent reductions after it drafted in a consultancy, Capa, to explore how it can save money across its 132-strong store estate, according to The Times. French Connection said it expected the sale process of the British clothing retailer to be completed by the end of the year, as it reported a smaller first-half operating loss on growth in its wholesale business in the US. Consumer Demand for birthday cakes featuring Disney characters licenced to the group helped to boost sales at bakery group Finsbury Food. | [
"noise",
"causal"
] | 0 |
causal20sc7549 | 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 AIM-list food producer said it sold a bumper amount of Toy Story 4 and Avengers: Endgame cakes in the year to June 29. Autos Car dealership Pendragon scrapped its dividend after deep price cuts to offload used car inventory pushed it to a loss in the first half of the year.
Answer: | noise | The AIM-list food producer said it sold a bumper amount of Toy Story 4 and Avengers: Endgame cakes in the year to June 29. Autos Car dealership Pendragon scrapped its dividend after deep price cuts to offload used car inventory pushed it to a loss in the first half of the year. | [
"noise",
"causal"
] | 0 |
causal20sc7550 | 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 said it expects annual loss to come in at the bottom of its expectations, blaming weak consumer confidence due to heightened political and Brexit uncertainties. The European Union - especially Germany - has relied on the mass production of cars for its success.
Answer: | noise | The company said it expects annual loss to come in at the bottom of its expectations, blaming weak consumer confidence due to heightened political and Brexit uncertainties. The European Union - especially Germany - has relied on the mass production of cars for its success. | [
"noise",
"causal"
] | 0 |
causal20sc7551 | 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 things are changing as an ever greener EU creates winners and losers. John Redwood looks at the issue here.
Answer: | noise | But things are changing as an ever greener EU creates winners and losers. John Redwood looks at the issue here. | [
"noise",
"causal"
] | 0 |
causal20sc7552 | 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: Travel & transport Package holiday group Thomas Cook secured an extra week to hammer out a £1.1bn rescue deal with China's Fosun, reports noted. A meeting had been scheduled for this Wednesday to agree terms but is set to be pushed back until next week as the travel company battles to survive.
Answer: | noise | Travel & transport Package holiday group Thomas Cook secured an extra week to hammer out a £1.1bn rescue deal with China's Fosun, reports noted. A meeting had been scheduled for this Wednesday to agree terms but is set to be pushed back until next week as the travel company battles to survive. | [
"noise",
"causal"
] | 0 |
causal20sc7553 | 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: However, press reports on Friday suggested the company could go bust within days after the group's bankers said the company needed to find £200m of contingency funding before they would secure its lifeline. Shares in the group are down by about 90% in the year to date.
Answer: | causal | However, press reports on Friday suggested the company could go bust within days after the group's bankers said the company needed to find £200m of contingency funding before they would secure its lifeline. Shares in the group are down by about 90% in the year to date. | [
"noise",
"causal"
] | 1 |
causal20sc7554 | 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: Saga posted a sharp fall in profits during the first half of this year, as challenges in its travel business dragged down the over-50s tourism and insurance giant. Pre-tax profits tumbled by more than 50% year-on-year - and the interim dividend was reduced to 1.3p from 1.7p.
Answer: | causal | Saga posted a sharp fall in profits during the first half of this year, as challenges in its travel business dragged down the over-50s tourism and insurance giant. Pre-tax profits tumbled by more than 50% year-on-year - and the interim dividend was reduced to 1.3p from 1.7p. | [
"noise",
"causal"
] | 1 |
causal20sc7555 | 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: British Airways pilots have called off the next strike in their dispute, which had been scheduled for 27 September.
Answer: | noise | British Airways pilots have called off the next strike in their dispute, which had been scheduled for 27 September. | [
"noise",
"causal"
] | 0 |
causal20sc7556 | 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 recent two-day stoppage called by the pilots' union, Balpa, forced IAG-owned BA to cancel almost all its flights. The strike followed failed negotiations between the union and the airline over a pay offer of 11.5% over three years.
Answer: | noise | A recent two-day stoppage called by the pilots' union, Balpa, forced IAG-owned BA to cancel almost all its flights. The strike followed failed negotiations between the union and the airline over a pay offer of 11.5% over three years. | [
"noise",
"causal"
] | 0 |
causal20sc7557 | 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: Balpa said it was now time for a period of reflection before the dispute escalates further and irreparable damage is done to the brand.
Answer: | noise | Balpa said it was now time for a period of reflection before the dispute escalates further and irreparable damage is done to the brand. | [
"noise",
"causal"
] | 0 |
causal20sc7558 | 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: Ryanair saw off an investor revolt over pay plans that could earn its controversial chief executive Michael O'Leary £99m in bonuses.
Answer: | noise | Ryanair saw off an investor revolt over pay plans that could earn its controversial chief executive Michael O'Leary £99m in bonuses. | [
"noise",
"causal"
] | 0 |
causal20sc7559 | 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 resolution passed with 50.5% of the vote. Its pilots also staged a 48 hour walkout this week over pay.
Answer: | noise | The resolution passed with 50.5% of the vote. Its pilots also staged a 48 hour walkout this week over pay. | [
"noise",
"causal"
] | 0 |
causal20sc7560 | 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: Mr O'Leary has been awarded 10 million shares which will pay out in five years if he doubles Ryanair's profit or share price. Healthcare Perdue Pharma, controlled by members of the billionaire Sackler family, filed for Chapter 11 protection from bankruptcy as part of its efforts to deal with thousands of lawsuits that accuse the company of fuelling the US opioid crisis. The move is designed in part to resolve more than 2,000 lawsuits filed against the OxyContin maker over its alleged role in the opioid epidemic.
Answer: | noise | Mr O'Leary has been awarded 10 million shares which will pay out in five years if he doubles Ryanair's profit or share price. Healthcare Perdue Pharma, controlled by members of the billionaire Sackler family, filed for Chapter 11 protection from bankruptcy as part of its efforts to deal with thousands of lawsuits that accuse the company of fuelling the US opioid crisis. The move is designed in part to resolve more than 2,000 lawsuits filed against the OxyContin maker over its alleged role in the opioid epidemic. | [
"noise",
"causal"
] | 0 |
causal20sc7561 | 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, the firm reached a tentative deal to settle most of those lawsuits.
Answer: | noise | Last week, the firm reached a tentative deal to settle most of those lawsuits. | [
"noise",
"causal"
] | 0 |
causal20sc7562 | 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 some states remain opposed to the proposed settlement.
Answer: | noise | But some states remain opposed to the proposed settlement. | [
"noise",
"causal"
] | 0 |
causal20sc7563 | 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: Financials Royal Bank of Scotland confirmed Alison Rose as its new chief executive, making her the first woman to lead one of the UK's big four banks. Ms Rose, who joined the bank 27 years ago as a graduate trainee, will replace the incumbent Ross McEwan in November.
Answer: | noise | Financials Royal Bank of Scotland confirmed Alison Rose as its new chief executive, making her the first woman to lead one of the UK's big four banks. Ms Rose, who joined the bank 27 years ago as a graduate trainee, will replace the incumbent Ross McEwan in November. | [
"noise",
"causal"
] | 0 |
causal20sc7564 | 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: Mitsubishi Corp, one of Japan's biggest trading houses, said a Singapore-based unit had lost $320m through unauthorised trading of crude oil derivatives.
Answer: | causal | Mitsubishi Corp, one of Japan's biggest trading houses, said a Singapore-based unit had lost $320m through unauthorised trading of crude oil derivatives. | [
"noise",
"causal"
] | 1 |
causal20sc7565 | 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 the first loss of its kind in Mitsubishi's history, a company spokesman said.
Answer: | noise | It is the first loss of its kind in Mitsubishi's history, a company spokesman said. | [
"noise",
"causal"
] | 0 |
causal20sc7566 | 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: Property MPs attacked the government's £12bn Help to Buy scheme, claiming that the policy has supported homebuyers who could already afford to buy a property and has failed to boost the provision of affordable housing or reduce homelessness.
Answer: | noise | Property MPs attacked the government's £12bn Help to Buy scheme, claiming that the policy has supported homebuyers who could already afford to buy a property and has failed to boost the provision of affordable housing or reduce homelessness. | [
"noise",
"causal"
] | 0 |
causal20sc7567 | 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: Three fifths of buyers who took part in Help to Buy did not need it to buy a home, according to a damning report by the Commons' public accounts committee. It said that the large sums of money tied up could have been spent in different ways to address a wider set of housing priorities and focus more on those most in need. The annual rate of growth of UK house prices slowed to its worst rate since September 2012, as prices fell 2% in the South East and by 2.9% in the North East of England.
Answer: | noise | Three fifths of buyers who took part in Help to Buy did not need it to buy a home, according to a damning report by the Commons' public accounts committee. It said that the large sums of money tied up could have been spent in different ways to address a wider set of housing priorities and focus more on those most in need. The annual rate of growth of UK house prices slowed to its worst rate since September 2012, as prices fell 2% in the South East and by 2.9% in the North East of England. | [
"noise",
"causal"
] | 0 |
causal20sc7568 | 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: For the country as a whole, prices were up an average of 0.7%.
Answer: | noise | For the country as a whole, prices were up an average of 0.7%. | [
"noise",
"causal"
] | 0 |
causal20sc7569 | 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: Nothing on this website should be construed as personal advice based on your circumstances. No news or research item is a personal recommendation to deal. from: CS Direct Your local Charles Stanley office can help advise you on a wide range of investment management services.
Answer: | noise | Nothing on this website should be construed as personal advice based on your circumstances. No news or research item is a personal recommendation to deal. from: CS Direct Your local Charles Stanley office can help advise you on a wide range of investment management services. | [
"noise",
"causal"
] | 0 |
causal20sc7570 | 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 focus on clients has endured since the foundation of Charles Stanley in 1792 and has helped make us one of the UK's leading wealth management firms. Your interests give shape to everything we do.
Answer: | noise | Our focus on clients has endured since the foundation of Charles Stanley in 1792 and has helped make us one of the UK's leading wealth management firms. Your interests give shape to everything we do. | [
"noise",
"causal"
] | 0 |
causal20sc7571 | 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: Please call us to talk about your circumstances or complete the enquiry form. £ We store your data in accordance with data protection legislation and our privacy notice. You can unsubscribe at any time by clicking the link in our emails or emailing us.
Answer: | noise | Please call us to talk about your circumstances or complete the enquiry form. £ We store your data in accordance with data protection legislation and our privacy notice. You can unsubscribe at any time by clicking the link in our emails or emailing us. | [
"noise",
"causal"
] | 0 |
causal20sc7572 | 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 European Union - especially Germany - has relied on the mass production of cars for its success.
Answer: | noise | The European Union - especially Germany - has relied on the mass production of cars for its success. | [
"noise",
"causal"
] | 0 |
causal20sc7573 | 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 things are changing. A cyber-curtain is set to divide the world A new Cold War looks likely as the US and China increasingly diverge and fall into dispute.
Answer: | noise | But things are changing. A cyber-curtain is set to divide the world A new Cold War looks likely as the US and China increasingly diverge and fall into dispute. | [
"noise",
"causal"
] | 0 |
causal20sc7574 | 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 the implications for investors?
Answer: | noise | What are the implications for investors? | [
"noise",
"causal"
] | 0 |
causal20sc7575 | 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: Charles Stanley Social Committee: Proudly supporting our Charity of the Year (CRY) The Charles Stanley Social Committee organise staff engagement events throughout the year to support the Charity of the Year. The five members of the committee are all from different areas of the firm, and aim to unite the business in supporting a common goal. Our focus on clients has endured since the foundation of Charles Stanley in 1792 and has helped make us one of the UK's leading wealth management firms.
Answer: | noise | Charles Stanley Social Committee: Proudly supporting our Charity of the Year (CRY) The Charles Stanley Social Committee organise staff engagement events throughout the year to support the Charity of the Year. The five members of the committee are all from different areas of the firm, and aim to unite the business in supporting a common goal. Our focus on clients has endured since the foundation of Charles Stanley in 1792 and has helped make us one of the UK's leading wealth management firms. | [
"noise",
"causal"
] | 0 |
causal20sc7576 | 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: Your interests give shape to everything we do.
Answer: | noise | Your interests give shape to everything we do. | [
"noise",
"causal"
] | 0 |
causal20sc7577 | 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: Please call us to talk about your circumstances or complete the enquiry form.
Answer: | noise | Please call us to talk about your circumstances or complete the enquiry form. | [
"noise",
"causal"
] | 0 |
causal20sc7578 | 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 store your data in accordance with data protection legislation and our privacy notice. You can unsubscribe at any time by clicking the link in our emails or emailing us.
Answer: | noise | £ We store your data in accordance with data protection legislation and our privacy notice. You can unsubscribe at any time by clicking the link in our emails or emailing us. | [
"noise",
"causal"
] | 0 |
causal20sc7579 | 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: Your local Charles Stanley office can help advise you on a wide range of investment management services. Share
Answer: | noise | Your local Charles Stanley office can help advise you on a wide range of investment management services. Share | [
"noise",
"causal"
] | 0 |
causal20sc7580 | 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: SPDR S&P Homebuilders ETF (NYSEARCA:XHB) declared a - dividend on Friday, September 20th, Wall Street Journal reports. Shareholders of record on Monday, September 23rd will be given a dividend of 0.1153 per share by the exchange traded fund on Wednesday, September 25th. This represents a yield of 1%.
Answer: | causal | SPDR S&P Homebuilders ETF (NYSEARCA:XHB) declared a - dividend on Friday, September 20th, Wall Street Journal reports. Shareholders of record on Monday, September 23rd will be given a dividend of 0.1153 per share by the exchange traded fund on Wednesday, September 25th. This represents a yield of 1%. | [
"noise",
"causal"
] | 1 |
causal20sc7581 | 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 of this dividend is Friday, September 20th.
Answer: | noise | The ex-dividend date of this dividend is Friday, September 20th. | [
"noise",
"causal"
] | 0 |
causal20sc7582 | 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: NYSEARCA:XHB traded down $0.27 during mid-day trading on Friday, hitting $43.07.
Answer: | causal | NYSEARCA:XHB traded down $0.27 during mid-day trading on Friday, hitting $43.07. | [
"noise",
"causal"
] | 1 |
causal20sc7583 | 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 had a trading volume of 1,970,917 shares, compared to its average volume of 2,554,493. The business has a fifty day simple moving average of $41.73 and a 200-day simple moving average of $40.65. SPDR S&P Homebuilders ETF has a 1 year low of $30.56 and a 1 year high of $44.04.
Answer: | noise | The company had a trading volume of 1,970,917 shares, compared to its average volume of 2,554,493. The business has a fifty day simple moving average of $41.73 and a 200-day simple moving average of $40.65. SPDR S&P Homebuilders ETF has a 1 year low of $30.56 and a 1 year high of $44.04. | [
"noise",
"causal"
] | 0 |
causal20sc7584 | 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: SPDR S&P Homebuilders ETF Company Profile SPDR S&P Homebuilders ETF (the Fund) seeks to closely match the returns and characteristics of the S&P Homebuilders Select Industry Index. The S&P Homebuilders Select Industry Index represents the homebuilding sub-industry portion of the S&P Total Markets Index.
Answer: | noise | SPDR S&P Homebuilders ETF Company Profile SPDR S&P Homebuilders ETF (the Fund) seeks to closely match the returns and characteristics of the S&P Homebuilders Select Industry Index. The S&P Homebuilders Select Industry Index represents the homebuilding sub-industry portion of the S&P Total Markets Index. | [
"noise",
"causal"
] | 0 |
causal20sc7585 | 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 S&P TMI tracks all the United States common stocks listed on the New York Stock Exchange, American Stock Exchange, National Association of Securities Dealers Automated Quotation (NASDAQ) National Market and NASDAQ Small Cap exchanges. See Also: Overbought Receive News & Ratings for SPDR S&P Homebuilders ETF Daily - Enter your email address below to receive a concise daily summary of the latest news and analysts' ratings for SPDR S&P Homebuilders ETF and related companies with MarketBeat.com's FREE daily email newsletter. Alphonse Anthony
Answer: | noise | The S&P TMI tracks all the United States common stocks listed on the New York Stock Exchange, American Stock Exchange, National Association of Securities Dealers Automated Quotation (NASDAQ) National Market and NASDAQ Small Cap exchanges. See Also: Overbought Receive News & Ratings for SPDR S&P Homebuilders ETF Daily - Enter your email address below to receive a concise daily summary of the latest news and analysts' ratings for SPDR S&P Homebuilders ETF and related companies with MarketBeat.com's FREE daily email newsletter. Alphonse Anthony | [
"noise",
"causal"
] | 0 |
causal20sc7586 | 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: Is Lonza Group Ltd (SWX:LONN) Revealing a Favorable Adjusted Slope Reading at 20.77940 Written by Echo Staff on When looking to find solid stocks with smooth upward momentum, investors can take a look at the 125/250 day adjusted slope indicator.
Answer: | noise | Is Lonza Group Ltd (SWX:LONN) Revealing a Favorable Adjusted Slope Reading at 20.77940 Written by Echo Staff on When looking to find solid stocks with smooth upward momentum, investors can take a look at the 125/250 day adjusted slope indicator. | [
"noise",
"causal"
] | 0 |
causal20sc7587 | 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: At the time of writing Lonza Group Ltd (SWX:LONN) have a current value of 20.77940.
Answer: | noise | At the time of writing Lonza Group Ltd (SWX:LONN) have a current value of 20.77940. | [
"noise",
"causal"
] | 0 |
causal20sc7588 | 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 point of this calculation is to calculate a longer term average adjusted slope value that smooths out large stock price movements by using the average of the timeframe.
Answer: | noise | The point of this calculation is to calculate a longer term average adjusted slope value that smooths out large stock price movements by using the average of the timeframe. | [
"noise",
"causal"
] | 0 |
causal20sc7589 | 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 indicator is useful in helping find stocks that have been on an even upward trend over the past 6 months to a year. Novice investors might be striving to create a trading strategy that produces results in the equity market. Once all the research is complete and the stocks are picked, they may need to decide what kind of time frame they will be working with in terms of buying and selling.
Answer: | noise | This indicator is useful in helping find stocks that have been on an even upward trend over the past 6 months to a year. Novice investors might be striving to create a trading strategy that produces results in the equity market. Once all the research is complete and the stocks are picked, they may need to decide what kind of time frame they will be working with in terms of buying and selling. | [
"noise",
"causal"
] | 0 |
causal20sc7590 | 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: Some investors will be making longer-term term plays, and others will be trying to make shorter-term moves. At some point, every investor will have to decide when to sell a winner and when to cut loose a loser.
Answer: | noise | Some investors will be making longer-term term plays, and others will be trying to make shorter-term moves. At some point, every investor will have to decide when to sell a winner and when to cut loose a loser. | [
"noise",
"causal"
] | 0 |
causal20sc7591 | 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 can be one of the most difficult decisions to make.
Answer: | noise | This can be one of the most difficult decisions to make. | [
"noise",
"causal"
] | 0 |
causal20sc7592 | 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: Investors may find it really hard to sell an underperforming stock when they still believe that it will turn around and move to profit. Waiting around for a turn around that may never come can lead to the undoing of a well crafted portfolio.
Answer: | noise | Investors may find it really hard to sell an underperforming stock when they still believe that it will turn around and move to profit. Waiting around for a turn around that may never come can lead to the undoing of a well crafted portfolio. | [
"noise",
"causal"
] | 0 |
causal20sc7593 | 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: Regularly staying on top of the markets may allow the investor to make educated buy or sell decisions when the time comes.
Answer: | noise | Regularly staying on top of the markets may allow the investor to make educated buy or sell decisions when the time comes. | [
"noise",
"causal"
] | 0 |
causal20sc7594 | 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 may involve following major economic data, studying company fundamentals, and checking in on historical price movement and trends.
Answer: | noise | This may involve following major economic data, studying company fundamentals, and checking in on historical price movement and trends. | [
"noise",
"causal"
] | 0 |
causal20sc7595 | 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: Investors who are able to keep their emotions in check might find themselves in a better position than those who let emotions get the best of them. Lonza Group Ltd (SWX:LONN) of the Pharmaceuticals & Biotechnology sector closed the recent session at 346.100000 with a market value of $25876471.
Answer: | noise | Investors who are able to keep their emotions in check might find themselves in a better position than those who let emotions get the best of them. Lonza Group Ltd (SWX:LONN) of the Pharmaceuticals & Biotechnology sector closed the recent session at 346.100000 with a market value of $25876471. | [
"noise",
"causal"
] | 0 |
causal20sc7596 | 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: Investor Target Weight Lonza Group Ltd (SWX:LONN) has a current suggested portfolio rate of 0.04800 (as a decimal) ownership. Target weight is the volatility adjusted recommended position size for a stock in your portfolio. The maximum target weight is 7% for any given stock.
Answer: | noise | Investor Target Weight Lonza Group Ltd (SWX:LONN) has a current suggested portfolio rate of 0.04800 (as a decimal) ownership. Target weight is the volatility adjusted recommended position size for a stock in your portfolio. The maximum target weight is 7% for any given stock. | [
"noise",
"causal"
] | 0 |
causal20sc7597 | 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 indicator is based off of the 100 day volatility reading and calculates a target weight accordingly.
Answer: | noise | The indicator is based off of the 100 day volatility reading and calculates a target weight accordingly. | [
"noise",
"causal"
] | 0 |
causal20sc7598 | 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 more recent volatility of a stock, the lower the target weight will be.
Answer: | noise | The more recent volatility of a stock, the lower the target weight will be. | [
"noise",
"causal"
] | 0 |
causal20sc7599 | 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 3-month volatility stands at 21.203100 (decimal).
Answer: | noise | The 3-month volatility stands at 21.203100 (decimal). | [
"noise",
"causal"
] | 0 |