English Evaluation Dataset
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causal20sc0 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Third Democratic presidential debate September 12, 2019 at 9:54 PM EDT - Updated September 13 at 12:54 AM WASHINGTON (AP) - Ten Democrats seeking the presidency tripped over some details Thursday night as they sparred in a debate thick with policy and personal stories. Several made provocative accusations that President Donald Trump inspired the deadly shooting in El Paso, Texas, last month.
Answer: | noise | Third Democratic presidential debate September 12, 2019 at 9:54 PM EDT - Updated September 13 at 12:54 AM WASHINGTON (AP) - Ten Democrats seeking the presidency tripped over some details Thursday night as they sparred in a debate thick with policy and personal stories. Several made provocative accusations that President Donald Trump inspired the deadly shooting in El Paso, Texas, last month. | [
"noise",
"causal"
] | 0 |
causal20sc1 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: On the policy front, Bernie Sanders claimed his approach to health care has a stamp of approval from everyone who studies such matters, which is not the case.
Answer: | noise | On the policy front, Bernie Sanders claimed his approach to health care has a stamp of approval from everyone who studies such matters, which is not the case. | [
"noise",
"causal"
] | 0 |
causal20sc2 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Joe Biden misrepresented recent history when he said the administration he served as vice president didn't put migrant kids in cages.
Answer: | noise | Joe Biden misrepresented recent history when he said the administration he served as vice president didn't put migrant kids in cages. | [
"noise",
"causal"
] | 0 |
causal20sc3 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Here's a look at some of the assertions in the third round of Democratic primary debates, the first to have all qualifying contenders square off in one night: BETO O'ROURKE, former U.S. representative from Texas, on last month's mass shooting in El Paso: Everything that I've learned about resilience, I've learned from my hometown of El Paso, Texas, in the face of this act of terror, that was directed at our community, in large part by the president of the United States.
Answer: | noise | Here's a look at some of the assertions in the third round of Democratic primary debates, the first to have all qualifying contenders square off in one night: BETO O'ROURKE, former U.S. representative from Texas, on last month's mass shooting in El Paso: Everything that I've learned about resilience, I've learned from my hometown of El Paso, Texas, in the face of this act of terror, that was directed at our community, in large part by the president of the United States. | [
"noise",
"causal"
] | 0 |
causal20sc4 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 killed 22 people, and injured many more, we were not defeated by that. Nor were we defined by that.
Answer: | noise | It killed 22 people, and injured many more, we were not defeated by that. Nor were we defined by that. | [
"noise",
"causal"
] | 0 |
causal20sc5 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: JULIAN CASTRO, former U.S. housing secretary: Look, a few weeks ago a shooter drove 10 hours inspired by this president to kill people who look like me and people who look like my family. THE FACTS: Nobody has claimed that Trump directed the shooting, as O'Rourke suggested.
Answer: | noise | JULIAN CASTRO, former U.S. housing secretary: Look, a few weeks ago a shooter drove 10 hours inspired by this president to kill people who look like me and people who look like my family. THE FACTS: Nobody has claimed that Trump directed the shooting, as O'Rourke suggested. | [
"noise",
"causal"
] | 0 |
causal20sc6 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Earlier in the debate, O'Rourke had said the shooter was inspired to kill by our president, an accusation also made by Castro. It is hard to know for sure what led the gunman to open fire inside a Walmart in El Paso, Texas, killing 22 people. The suspect posted a manifesto online before the shooting that echoed Trump's comments on immigration.
Answer: | noise | Earlier in the debate, O'Rourke had said the shooter was inspired to kill by our president, an accusation also made by Castro. It is hard to know for sure what led the gunman to open fire inside a Walmart in El Paso, Texas, killing 22 people. The suspect posted a manifesto online before the shooting that echoed Trump's comments on immigration. | [
"noise",
"causal"
] | 0 |
causal20sc7 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Yet he said his own views predate Trump and his campaign for president.
Answer: | noise | Yet he said his own views predate Trump and his campaign for president. | [
"noise",
"causal"
] | 0 |
causal20sc8 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 screed spoke of what the suspect called a Hispanic invasion of Texas, railed against immigrants and warned of an imminent attack.
Answer: | noise | The screed spoke of what the suspect called a Hispanic invasion of Texas, railed against immigrants and warned of an imminent attack. | [
"noise",
"causal"
] | 0 |
causal20sc9 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Nearly all of the victims had Latino last names.
Answer: | noise | Nearly all of the victims had Latino last names. | [
"noise",
"causal"
] | 0 |
causal20sc10 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 have the highest child poverty rate of almost any country on Earth.
Answer: | noise | We have the highest child poverty rate of almost any country on Earth. | [
"noise",
"causal"
] | 0 |
causal20sc11 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 FACTS: This oft-repeated line by the Vermont senator is an exaggeration.
Answer: | noise | THE FACTS: This oft-repeated line by the Vermont senator is an exaggeration. | [
"noise",
"causal"
] | 0 |
causal20sc12 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 nearly 200 countries in the world, many with people mired in extreme poverty that most Americans would struggle to fathom.
Answer: | noise | There are nearly 200 countries in the world, many with people mired in extreme poverty that most Americans would struggle to fathom. | [
"noise",
"causal"
] | 0 |
causal20sc13 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Poverty is also a relative measure in which someone who is poor in one nation might look rather prosperous in another.
Answer: | noise | Poverty is also a relative measure in which someone who is poor in one nation might look rather prosperous in another. | [
"noise",
"causal"
] | 0 |
causal20sc14 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: But the Organization for Economic Co-operation and Development updated its child poverty report in 2018. The United States had an above average level of child poverty, but it was not at the bottom of the 42 nations listed in the report.
Answer: | noise | But the Organization for Economic Co-operation and Development updated its child poverty report in 2018. The United States had an above average level of child poverty, but it was not at the bottom of the 42 nations listed in the report. | [
"noise",
"causal"
] | 0 |
causal20sc15 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 United States still fared better than Russia, Chile, Spain, India, Turkey, Israel, Costa Rica, Brazil, South Africa and China. We didn't lock people up in cages, we didn't separate families.
Answer: | noise | The United States still fared better than Russia, Chile, Spain, India, Turkey, Israel, Costa Rica, Brazil, South Africa and China. We didn't lock people up in cages, we didn't separate families. | [
"noise",
"causal"
] | 0 |
causal20sc16 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 FACTS: His comment about cages is wrong.
Answer: | noise | THE FACTS: His comment about cages is wrong. | [
"noise",
"causal"
] | 0 |
causal20sc17 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 cages - chain-link enclosures inside border facilities where migrants have been temporarily housed, separated by sex and age - were built and used by the Obama administration. The Trump administration has been using the same facilities as the Obama administration.
Answer: | noise | The cages - chain-link enclosures inside border facilities where migrants have been temporarily housed, separated by sex and age - were built and used by the Obama administration. The Trump administration has been using the same facilities as the Obama administration. | [
"noise",
"causal"
] | 0 |
causal20sc18 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Democrats routinely accuse Trump of using cages for children without acknowledging the same enclosures were employed when Biden was vice president. The Obama administration also separated migrant children from families under certain limited circumstances, like when the child's safety appeared at risk or when the parent had a serious criminal history.
Answer: | noise | Democrats routinely accuse Trump of using cages for children without acknowledging the same enclosures were employed when Biden was vice president. The Obama administration also separated migrant children from families under certain limited circumstances, like when the child's safety appeared at risk or when the parent had a serious criminal history. | [
"noise",
"causal"
] | 0 |
causal20sc19 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 family separations as a matter of routine came about because of President Donald Trump's zero tolerance enforcement policy last year.
Answer: | noise | But family separations as a matter of routine came about because of President Donald Trump's zero tolerance enforcement policy last year. | [
"noise",
"causal"
] | 0 |
causal20sc20 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 2,500 children were separated from their parents at the border and a government watchdog has said it's possible thousands more were separated. Obama had no such policy.
Answer: | noise | More than 2,500 children were separated from their parents at the border and a government watchdog has said it's possible thousands more were separated. Obama had no such policy. | [
"noise",
"causal"
] | 0 |
causal20sc21 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 study done shows that 'Medicare for All' is the most cost-effective approach to providing health care to every man, woman and child in this country. THE FACTS: Not exactly.
Answer: | noise | Every study done shows that 'Medicare for All' is the most cost-effective approach to providing health care to every man, woman and child in this country. THE FACTS: Not exactly. | [
"noise",
"causal"
] | 0 |
causal20sc22 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 nonpartisan Congressional Budget Office said in a report earlier this year that total spending under a single-payer system, such as the one proposed by Sanders, might be higher or lower than under the current system depending on the key features of the new system.
Answer: | noise | The nonpartisan Congressional Budget Office said in a report earlier this year that total spending under a single-payer system, such as the one proposed by Sanders, might be higher or lower than under the current system depending on the key features of the new system. | [
"noise",
"causal"
] | 0 |
causal20sc23 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Those features involve details about payment rates for hospitals and doctors, which are not fully spelled out by Sanders, as well as the estimated cost of generous benefits that include long-term care services and no copays and deductibles for comprehensive medical care.
Answer: | noise | Those features involve details about payment rates for hospitals and doctors, which are not fully spelled out by Sanders, as well as the estimated cost of generous benefits that include long-term care services and no copays and deductibles for comprehensive medical care. | [
"noise",
"causal"
] | 0 |
causal20sc24 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 report this year by the nonprofit Rand think tank estimated that Medicare for All would modestly raise national health spending, the opposite of what Sanders intends. Rand modeled a hypothetical scenario in which a plan similar to legislation by the Vermont senator had taken effect this year.
Answer: | noise | A report this year by the nonprofit Rand think tank estimated that Medicare for All would modestly raise national health spending, the opposite of what Sanders intends. Rand modeled a hypothetical scenario in which a plan similar to legislation by the Vermont senator had taken effect this year. | [
"noise",
"causal"
] | 0 |
causal20sc25 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 found that total U.S. health care spending would be about $3.9 trillion under Medicare for All in 2019, compared with about $3.8 trillion under the status quo. Part of the reason is that Medicare for All would offer generous benefits with no copays and deductibles, except limited cost-sharing for certain medications.
Answer: | causal | It found that total U.S. health care spending would be about $3.9 trillion under Medicare for All in 2019, compared with about $3.8 trillion under the status quo. Part of the reason is that Medicare for All would offer generous benefits with no copays and deductibles, except limited cost-sharing for certain medications. | [
"noise",
"causal"
] | 1 |
causal20sc26 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Virtually free comprehensive medical care would lead to big increases in the demand for services.
Answer: | noise | Virtually free comprehensive medical care would lead to big increases in the demand for services. | [
"noise",
"causal"
] | 0 |
causal20sc27 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: KAMALA HARRIS, on Trump: The only reason he has not been indicted is because there was a memo in the Department of Justice that says a sitting president cannot be charged with a crime.
Answer: | noise | KAMALA HARRIS, on Trump: The only reason he has not been indicted is because there was a memo in the Department of Justice that says a sitting president cannot be charged with a crime. | [
"noise",
"causal"
] | 0 |
causal20sc28 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 FACTS: We don't know that it's the only reason.
Answer: | noise | THE FACTS: We don't know that it's the only reason. | [
"noise",
"causal"
] | 0 |
causal20sc29 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Former special counsel Robert Mueller didn't go that far in his report on Russian intervention in the 2016 election and obstruction of justice. Harris, a California senator, is referring to a Justice Department legal opinion that says sitting presidents are immune from indictment.
Answer: | noise | Former special counsel Robert Mueller didn't go that far in his report on Russian intervention in the 2016 election and obstruction of justice. Harris, a California senator, is referring to a Justice Department legal opinion that says sitting presidents are immune from indictment. | [
"noise",
"causal"
] | 0 |
causal20sc30 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Mueller has said his investigators were restrained by that rule, but he also said that they never reached a determination as to whether the president committed a crime. In Mueller's congressional testimony in July, he said his team never started the process of evaluating whether to charge Trump.
Answer: | noise | Mueller has said his investigators were restrained by that rule, but he also said that they never reached a determination as to whether the president committed a crime. In Mueller's congressional testimony in July, he said his team never started the process of evaluating whether to charge Trump. | [
"noise",
"causal"
] | 0 |
causal20sc31 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Associated Press writers Josh Boak, Colleen Long, Michael Balsamo, Ricardo Alonso-Zaldivar, Mary Clare Jalonick and Amanda Seitz contributed to this report. Copyright 2019 Associated Press.
Answer: | noise | Associated Press writers Josh Boak, Colleen Long, Michael Balsamo, Ricardo Alonso-Zaldivar, Mary Clare Jalonick and Amanda Seitz contributed to this report. Copyright 2019 Associated Press. | [
"noise",
"causal"
] | 0 |
causal20sc32 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: All rights reserved.
Answer: | noise | All rights reserved. | [
"noise",
"causal"
] | 0 |
causal20sc33 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 trying to determine the current valuation of Intelsat S.A. (NYSE:I) shares, we note that the Book to Market ratio of the shares stands at -1.471713.
Answer: | noise | In trying to determine the current valuation of Intelsat S.A. (NYSE:I) shares, we note that the Book to Market ratio of the shares stands at -1.471713. | [
"noise",
"causal"
] | 0 |
causal20sc34 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 commonly accepted that a Book to Market ratio greater than one indicates that the shares might be undervalued.
Answer: | noise | It's commonly accepted that a Book to Market ratio greater than one indicates that the shares might be undervalued. | [
"noise",
"causal"
] | 0 |
causal20sc35 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 book to market ratio has some limitations in certain industries however where intangible assets (such as knowledge) often are not represented on a balance sheet.
Answer: | noise | The book to market ratio has some limitations in certain industries however where intangible assets (such as knowledge) often are not represented on a balance sheet. | [
"noise",
"causal"
] | 0 |
causal20sc36 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 ratio is calculated by dividing the market price per share by book value per share. As we move into the second half of the year, investors may be wondering what's in store for stocks. During the summer months, markets are typically a bit more subdued.
Answer: | noise | The ratio is calculated by dividing the market price per share by book value per share. As we move into the second half of the year, investors may be wondering what's in store for stocks. During the summer months, markets are typically a bit more subdued. | [
"noise",
"causal"
] | 0 |
causal20sc37 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 might be looking to get positioned for whatever is coming. Many feel that the bull market may be losing steam, while others believe that there is plenty of room for the market to cruise higher.
Answer: | noise | Investors might be looking to get positioned for whatever is coming. Many feel that the bull market may be losing steam, while others believe that there is plenty of room for the market to cruise higher. | [
"noise",
"causal"
] | 0 |
causal20sc38 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Market conditions can change quickly, and being prepared for the worst may help ease the burden if the tide turns unexpectedly. Intelsat S.A. (NYSE:I) presently has a current ratio of 1.86.
Answer: | noise | Market conditions can change quickly, and being prepared for the worst may help ease the burden if the tide turns unexpectedly. Intelsat S.A. (NYSE:I) presently has a current ratio of 1.86. | [
"noise",
"causal"
] | 0 |
causal20sc39 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 current ratio, also known as the working capital ratio, is a liquidity ratio that displays the proportion of current assets of a business relative to the current liabilities.
Answer: | noise | The current ratio, also known as the working capital ratio, is a liquidity ratio that displays the proportion of current assets of a business relative to the current liabilities. | [
"noise",
"causal"
] | 0 |
causal20sc40 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 ratio is simply calculated by dividing current liabilities by current assets. The ratio may be used to provide an idea of the ability of a certain company to pay back its liabilities with assets.
Answer: | noise | The ratio is simply calculated by dividing current liabilities by current assets. The ratio may be used to provide an idea of the ability of a certain company to pay back its liabilities with assets. | [
"noise",
"causal"
] | 0 |
causal20sc41 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Typically, the higher the current ratio the better, as the company may be more capable of paying back its obligations.
Answer: | noise | Typically, the higher the current ratio the better, as the company may be more capable of paying back its obligations. | [
"noise",
"causal"
] | 0 |
causal20sc42 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Return on Assets There are many different tools to determine whether a company is profitable or not.
Answer: | noise | Return on Assets There are many different tools to determine whether a company is profitable or not. | [
"noise",
"causal"
] | 0 |
causal20sc43 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 of the most popular ratios is the Return on Assets (aka ROA). This score indicates how profitable a company is relative to its total assets. The Return on Assets for Intelsat S.A. (NYSE:I) is -0.091591.
Answer: | noise | One of the most popular ratios is the Return on Assets (aka ROA). This score indicates how profitable a company is relative to its total assets. The Return on Assets for Intelsat S.A. (NYSE:I) is -0.091591. | [
"noise",
"causal"
] | 0 |
causal20sc44 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 number is calculated by dividing net income after tax by the company's total assets. A company that manages their assets well will have a higher return, while a company that manages their assets poorly will have a lower return.
Answer: | noise | This number is calculated by dividing net income after tax by the company's total assets. A company that manages their assets well will have a higher return, while a company that manages their assets poorly will have a lower return. | [
"noise",
"causal"
] | 0 |
causal20sc45 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Intelsat S.A. (NYSE:I)'s Leverage Ratio was recently noted as 1.199119. This ratio is calculated by dividing total debt by total assets plus total assets previous year, divided by two.
Answer: | noise | Intelsat S.A. (NYSE:I)'s Leverage Ratio was recently noted as 1.199119. This ratio is calculated by dividing total debt by total assets plus total assets previous year, divided by two. | [
"noise",
"causal"
] | 0 |
causal20sc46 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 leverage of a company is relative to the amount of debt on the balance sheet. This ratio is often viewed as one measure of the financial health of a firm.
Answer: | noise | The leverage of a company is relative to the amount of debt on the balance sheet. This ratio is often viewed as one measure of the financial health of a firm. | [
"noise",
"causal"
] | 0 |
causal20sc47 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: ERP5 Rank The ERP5 Rank is an investment tool that analysts use to discover undervalued companies. The ERP5 looks at the Price to Book ratio, Earnings Yield, ROIC and 5 year average ROIC.
Answer: | noise | ERP5 Rank The ERP5 Rank is an investment tool that analysts use to discover undervalued companies. The ERP5 looks at the Price to Book ratio, Earnings Yield, ROIC and 5 year average ROIC. | [
"noise",
"causal"
] | 0 |
causal20sc48 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 ERP5 of Intelsat S.A. (NYSE:I) is 9418. The lower the ERP5 rank, the more undervalued a company is thought to be.
Answer: | noise | The ERP5 of Intelsat S.A. (NYSE:I) is 9418. The lower the ERP5 rank, the more undervalued a company is thought to be. | [
"noise",
"causal"
] | 0 |
causal20sc49 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: FCF Yield 5yr Avg The FCF Yield 5yr Average is calculated by taking the five year average free cash flow of a company, and dividing it by the current enterprise value.
Answer: | noise | FCF Yield 5yr Avg The FCF Yield 5yr Average is calculated by taking the five year average free cash flow of a company, and dividing it by the current enterprise value. | [
"noise",
"causal"
] | 0 |
causal20sc50 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Enterprise Value is calculated by taking the market capitalization plus debt, minority interest and preferred shares, minus total cash and cash equivalents.
Answer: | noise | Enterprise Value is calculated by taking the market capitalization plus debt, minority interest and preferred shares, minus total cash and cash equivalents. | [
"noise",
"causal"
] | 0 |
causal20sc51 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 average FCF of a company is determined by looking at the cash generated by operations of the company.
Answer: | noise | The average FCF of a company is determined by looking at the cash generated by operations of the company. | [
"noise",
"causal"
] | 0 |
causal20sc52 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 Free Cash Flow Yield 5 Year Average of Intelsat S.A. (NYSE:I) is 0.007539.
Answer: | noise | The Free Cash Flow Yield 5 Year Average of Intelsat S.A. (NYSE:I) is 0.007539. | [
"noise",
"causal"
] | 0 |
causal20sc53 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Ever wonder how investors predict positive share price momentum?
Answer: | noise | Ever wonder how investors predict positive share price momentum? | [
"noise",
"causal"
] | 0 |
causal20sc54 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 Cross SMA 50/200, also known as the Golden Cross is the fifty day moving average divided by the two hundred day moving average. The SMA 50/200 for Intelsat S.A. (NYSE:I) is currently 0.98999. If the Golden Cross is greater than 1, then the 50 day moving average is above the 200 day moving average - indicating a positive share price momentum.
Answer: | noise | The Cross SMA 50/200, also known as the Golden Cross is the fifty day moving average divided by the two hundred day moving average. The SMA 50/200 for Intelsat S.A. (NYSE:I) is currently 0.98999. If the Golden Cross is greater than 1, then the 50 day moving average is above the 200 day moving average - indicating a positive share price momentum. | [
"noise",
"causal"
] | 0 |
causal20sc55 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 the Golden Cross is less than 1, then the 50 day moving average is below the 200 day moving average, indicating that the price might drop. Magic Formula The MF Rank (aka the Magic Formula) is a formula that pinpoints a valuable company trading at a good price. The formula is calculated by looking at companies that have a high earnings yield as well as a high return on invested capital.
Answer: | noise | If the Golden Cross is less than 1, then the 50 day moving average is below the 200 day moving average, indicating that the price might drop. Magic Formula The MF Rank (aka the Magic Formula) is a formula that pinpoints a valuable company trading at a good price. The formula is calculated by looking at companies that have a high earnings yield as well as a high return on invested capital. | [
"noise",
"causal"
] | 0 |
causal20sc56 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 MF Rank of Intelsat S.A. (NYSE:I) is 6391.
Answer: | noise | The MF Rank of Intelsat S.A. (NYSE:I) is 6391. | [
"noise",
"causal"
] | 0 |
causal20sc57 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 company with a low rank is considered a good company to invest in. The Magic Formula was introduced in a book written by Joel Greenblatt, entitled, The Little Book that Beats the Market.
Answer: | noise | A company with a low rank is considered a good company to invest in. The Magic Formula was introduced in a book written by Joel Greenblatt, entitled, The Little Book that Beats the Market. | [
"noise",
"causal"
] | 0 |
causal20sc58 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Stock volatility is a percentage that indicates whether a stock is a desirable purchase.
Answer: | noise | Stock volatility is a percentage that indicates whether a stock is a desirable purchase. | [
"noise",
"causal"
] | 0 |
causal20sc59 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 look at the Volatility 12m to determine if a company has a low volatility percentage or not over the course of a year. The Volatility 12m of Intelsat S.A. (NYSE:I) is 65.044900. This is calculated by taking weekly log normal returns and standard deviation of the share price over one year annualized.
Answer: | noise | Investors look at the Volatility 12m to determine if a company has a low volatility percentage or not over the course of a year. The Volatility 12m of Intelsat S.A. (NYSE:I) is 65.044900. This is calculated by taking weekly log normal returns and standard deviation of the share price over one year annualized. | [
"noise",
"causal"
] | 0 |
causal20sc60 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 lower the number, a company is thought to have low volatility.
Answer: | noise | The lower the number, a company is thought to have low volatility. | [
"noise",
"causal"
] | 0 |
causal20sc61 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 Volatility 3m is a similar percentage determined by the daily log normal returns and standard deviation of the share price over 3 months.
Answer: | noise | The Volatility 3m is a similar percentage determined by the daily log normal returns and standard deviation of the share price over 3 months. | [
"noise",
"causal"
] | 0 |
causal20sc62 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 Volatility 3m of Intelsat S.A. (NYSE:I) is 44.110600.
Answer: | noise | The Volatility 3m of Intelsat S.A. (NYSE:I) is 44.110600. | [
"noise",
"causal"
] | 0 |
causal20sc63 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 Volatility 6m is the same, except measured over the course of six months. The Volatility 6m is 46.400100.
Answer: | noise | The Volatility 6m is the same, except measured over the course of six months. The Volatility 6m is 46.400100. | [
"noise",
"causal"
] | 0 |
causal20sc64 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Yield After a recent scan, we can see that Intelsat S.A. (NYSE:I) has a Shareholder Yield of -0.032048 and a Shareholder Yield (Mebane Faber) of -0.21605.
Answer: | noise | Yield After a recent scan, we can see that Intelsat S.A. (NYSE:I) has a Shareholder Yield of -0.032048 and a Shareholder Yield (Mebane Faber) of -0.21605. | [
"noise",
"causal"
] | 0 |
causal20sc65 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 first value is calculated by adding the dividend yield to the percentage of repurchased shares. The second value adds in the net debt repaid yield to the calculation.
Answer: | noise | The first value is calculated by adding the dividend yield to the percentage of repurchased shares. The second value adds in the net debt repaid yield to the calculation. | [
"noise",
"causal"
] | 0 |
causal20sc66 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Shareholder yield has the ability to show how much money the firm is giving back to shareholders via a few different avenues. Companies may issue new shares and buy back their own shares. This may occur at the same time.
Answer: | noise | Shareholder yield has the ability to show how much money the firm is giving back to shareholders via a few different avenues. Companies may issue new shares and buy back their own shares. This may occur at the same time. | [
"noise",
"causal"
] | 0 |
causal20sc67 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 also use shareholder yield to gauge a baseline rate of return.
Answer: | noise | Investors may also use shareholder yield to gauge a baseline rate of return. | [
"noise",
"causal"
] | 0 |
causal20sc68 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 into the second half of the year, investors may be wondering what's in store for stocks.
Answer: | noise | As we move into the second half of the year, investors may be wondering what's in store for stocks. | [
"noise",
"causal"
] | 0 |
causal20sc69 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: During the summer months, markets are typically a bit more subdued. Investors might be looking to get positioned for whatever is coming. Many feel that the bull market may be losing steam, while others believe that there is plenty of room for the market to cruise higher.
Answer: | noise | During the summer months, markets are typically a bit more subdued. Investors might be looking to get positioned for whatever is coming. Many feel that the bull market may be losing steam, while others believe that there is plenty of room for the market to cruise higher. | [
"noise",
"causal"
] | 0 |
causal20sc70 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Market conditions can change quickly, and being prepared for the worst may help ease the burden if the tide turns unexpectedly.
Answer: | noise | Market conditions can change quickly, and being prepared for the worst may help ease the burden if the tide turns unexpectedly. | [
"noise",
"causal"
] | 0 |
causal20sc71 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 taking a look at some key indicators for Altium Limited (ASX:ALU), we note that the current Book to Market value for the firm is at 0.057394.
Answer: | noise | In taking a look at some key indicators for Altium Limited (ASX:ALU), we note that the current Book to Market value for the firm is at 0.057394. | [
"noise",
"causal"
] | 0 |
causal20sc72 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 Book to Market or BTM is calculated as Market Value (or Stock Price)/Book Value.
Answer: | noise | The Book to Market or BTM is calculated as Market Value (or Stock Price)/Book Value. | [
"noise",
"causal"
] | 0 |
causal20sc73 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 often look for shares with high Book to Market value as this could indicate that the equity is priced below market value and underpriced.
Answer: | noise | Investors often look for shares with high Book to Market value as this could indicate that the equity is priced below market value and underpriced. | [
"noise",
"causal"
] | 0 |
causal20sc74 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 ratio of a publicly-traded company's book value to its market value. That is, the BTM is a comparison of a company's net asset value per share to its share price.
Answer: | noise | A ratio of a publicly-traded company's book value to its market value. That is, the BTM is a comparison of a company's net asset value per share to its share price. | [
"noise",
"causal"
] | 0 |
causal20sc75 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: This is a useful tool to help determine how the market prices a company relative to its actual worth. A ratio greater than one indicates an undervalued company, while a ratio less than one means a company is overvalued.
Answer: | noise | This is a useful tool to help determine how the market prices a company relative to its actual worth. A ratio greater than one indicates an undervalued company, while a ratio less than one means a company is overvalued. | [
"noise",
"causal"
] | 0 |
causal20sc76 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Value managers seek out companies with high BTMs for their portfolios.
Answer: | noise | Value managers seek out companies with high BTMs for their portfolios. | [
"noise",
"causal"
] | 0 |
causal20sc77 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Receive News & Ratings Via Email - Enter your email address below to receive a concise daily summary of the latest news and analysts' ratings with MarketBeat.com's FREE daily email newsletter.
Answer: | noise | Receive News & Ratings Via Email - Enter your email address below to receive a concise daily summary of the latest news and analysts' ratings with MarketBeat.com's FREE daily email newsletter. | [
"noise",
"causal"
] | 0 |
causal20sc78 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 traders may be using technical analysis to try and beat the stock market.
Answer: | noise | Some traders may be using technical analysis to try and beat the stock market. | [
"noise",
"causal"
] | 0 |
causal20sc79 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 many different indicators that traders have at their disposal. The sheer amount of indicators may leave the trader wondering which ones to use. Studying different technical indicators and signals may be worthwhile and educational, but the average investor may only end up focusing on a couple different indicators that actually work.
Answer: | noise | There are many different indicators that traders have at their disposal. The sheer amount of indicators may leave the trader wondering which ones to use. Studying different technical indicators and signals may be worthwhile and educational, but the average investor may only end up focusing on a couple different indicators that actually work. | [
"noise",
"causal"
] | 0 |
causal20sc80 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Finding which indicators to follow and trade on may take some time and effort.
Answer: | noise | Finding which indicators to follow and trade on may take some time and effort. | [
"noise",
"causal"
] | 0 |
causal20sc81 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Scoping out the proper signals and figuring out which ones tend to work the best may be on the minds of many traders. Trying to follow too many technical indicators might not be the best idea, and it may even cause more confusion. Once the signals have been chosen, traders may spend a lot of time back testing strategies before diving into the market.
Answer: | noise | Scoping out the proper signals and figuring out which ones tend to work the best may be on the minds of many traders. Trying to follow too many technical indicators might not be the best idea, and it may even cause more confusion. Once the signals have been chosen, traders may spend a lot of time back testing strategies before diving into the market. | [
"noise",
"causal"
] | 0 |
causal20sc82 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Additional Tools There are many different tools to determine whether a company is profitable or not. One of the most popular ratios is the Return on Assets (aka ROA). This score indicates how profitable a company is relative to its total assets.
Answer: | noise | Additional Tools There are many different tools to determine whether a company is profitable or not. One of the most popular ratios is the Return on Assets (aka ROA). This score indicates how profitable a company is relative to its total assets. | [
"noise",
"causal"
] | 0 |
causal20sc83 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 Return on Assets for Altium Limited (ASX:ALU) is 0.226077.
Answer: | noise | The Return on Assets for Altium Limited (ASX:ALU) is 0.226077. | [
"noise",
"causal"
] | 0 |
causal20sc84 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 number is calculated by dividing net income after tax by the company's total assets. A company that manages their assets well will have a higher return, while a company that manages their assets poorly will have a lower return.
Answer: | noise | This number is calculated by dividing net income after tax by the company's total assets. A company that manages their assets well will have a higher return, while a company that manages their assets poorly will have a lower return. | [
"noise",
"causal"
] | 0 |
causal20sc85 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Looking at some ROIC (Return on Invested Capital) numbers, Altium Limited (ASX:ALU)'s ROIC is 0.369425. The ROIC 5 year average is 0.312250 and the ROIC Quality ratio is 0.731025.
Answer: | noise | Looking at some ROIC (Return on Invested Capital) numbers, Altium Limited (ASX:ALU)'s ROIC is 0.369425. The ROIC 5 year average is 0.312250 and the ROIC Quality ratio is 0.731025. | [
"noise",
"causal"
] | 0 |
causal20sc86 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: ROIC is a profitability ratio that measures the return that an investment generates for those providing capital. ROIC helps show how efficient a firm is at turning capital into profits.
Answer: | noise | ROIC is a profitability ratio that measures the return that an investment generates for those providing capital. ROIC helps show how efficient a firm is at turning capital into profits. | [
"noise",
"causal"
] | 0 |
causal20sc87 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 terms of EBITDA Yield, Altium Limited (ASX:ALU) currently has a value of 0.019499.
Answer: | noise | In terms of EBITDA Yield, Altium Limited (ASX:ALU) currently has a value of 0.019499. | [
"noise",
"causal"
] | 0 |
causal20sc88 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 value is derived by dividing EBITDA by Enterprise Value. The Current Ratio of Altium Limited (ASX:ALU) is 1.82.
Answer: | noise | This value is derived by dividing EBITDA by Enterprise Value. The Current Ratio of Altium Limited (ASX:ALU) is 1.82. | [
"noise",
"causal"
] | 0 |
causal20sc89 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 Current Ratio is used by investors to determine whether a company can pay short term and long term debts.
Answer: | noise | The Current Ratio is used by investors to determine whether a company can pay short term and long term debts. | [
"noise",
"causal"
] | 0 |
causal20sc90 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 current ratio looks at all the liquid and non-liquid assets compared to the company's total current liabilities.
Answer: | noise | The current ratio looks at all the liquid and non-liquid assets compared to the company's total current liabilities. | [
"noise",
"causal"
] | 0 |
causal20sc91 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 high current ratio indicates that the company might have trouble managing their working capital.
Answer: | noise | A high current ratio indicates that the company might have trouble managing their working capital. | [
"noise",
"causal"
] | 0 |
causal20sc92 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 low current ratio (when the current liabilities are higher than the current assets) indicates that the company may have trouble paying their short term obligations. The Leverage Ratio of Altium Limited (ASX:ALU) is 0.000000. Leverage ratio is the total debt of a company divided by total assets of the current and past year divided by two.
Answer: | noise | A low current ratio (when the current liabilities are higher than the current assets) indicates that the company may have trouble paying their short term obligations. The Leverage Ratio of Altium Limited (ASX:ALU) is 0.000000. Leverage ratio is the total debt of a company divided by total assets of the current and past year divided by two. | [
"noise",
"causal"
] | 0 |
causal20sc93 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Companies take on debt to finance their day to day operations. The leverage ratio can measure how much of a company's capital comes from debt. With this ratio, investors can better estimate how well a company will be able to pay their long and short term financial obligations.
Answer: | noise | Companies take on debt to finance their day to day operations. The leverage ratio can measure how much of a company's capital comes from debt. With this ratio, investors can better estimate how well a company will be able to pay their long and short term financial obligations. | [
"noise",
"causal"
] | 0 |
causal20sc94 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Piotroski F Score The Piotroski F-Score is a scoring system between 1-9 that determines a firm's financial strength.
Answer: | noise | Piotroski F Score The Piotroski F-Score is a scoring system between 1-9 that determines a firm's financial strength. | [
"noise",
"causal"
] | 0 |
causal20sc95 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 score helps determine if a company's stock is valuable or not.
Answer: | noise | The score helps determine if a company's stock is valuable or not. | [
"noise",
"causal"
] | 0 |
causal20sc96 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 Piotroski F-Score of Altium Limited (ASX:ALU) is 6.
Answer: | noise | The Piotroski F-Score of Altium Limited (ASX:ALU) is 6. | [
"noise",
"causal"
] | 0 |
causal20sc97 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 score of nine indicates a high value stock, while a score of one indicates a low value stock. The score is calculated by the return on assets (ROA), Cash flow return on assets (CFROA), change in return of assets, and quality of earnings. It is also calculated by a change in gearing or leverage, liquidity, and change in shares in issue.
Answer: | noise | A score of nine indicates a high value stock, while a score of one indicates a low value stock. The score is calculated by the return on assets (ROA), Cash flow return on assets (CFROA), change in return of assets, and quality of earnings. It is also calculated by a change in gearing or leverage, liquidity, and change in shares in issue. | [
"noise",
"causal"
] | 0 |
causal20sc98 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 score is also determined by change in gross margin and change in asset turnover. Checking in on some valuation rankings, Altium Limited (ASX:ALU) has a Value Composite score of 76. Developed by James O'Shaughnessy, the VC score uses five valuation ratios.
Answer: | noise | The score is also determined by change in gross margin and change in asset turnover. Checking in on some valuation rankings, Altium Limited (ASX:ALU) has a Value Composite score of 76. Developed by James O'Shaughnessy, the VC score uses five valuation ratios. | [
"noise",
"causal"
] | 0 |
causal20sc99 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: These ratios are price to earnings, price to cash flow, EBITDA to EV, price to book value, and price to sales.
Answer: | noise | These ratios are price to earnings, price to cash flow, EBITDA to EV, price to book value, and price to sales. | [
"noise",
"causal"
] | 0 |
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