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causal20sc8600 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 analysis quantifies what was already clear: DACA recipients have deep family and economic ties throughout the United States, Prchal Svajlenka said in a news release.
Answer: | noise | The analysis quantifies what was already clear: DACA recipients have deep family and economic ties throughout the United States, Prchal Svajlenka said in a news release. | [
"noise",
"causal"
] | 0 |
causal20sc8601 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Allowing DACA to end would sow chaos and confusion, upending the lives of hundreds of thousands of young, hardworking people and their families. Of the more than 16 million people living in mixed immigration status families - where some in the family are U.S. citizens but others are not - about 1.5 million individuals live in households with a DACA recipient, including over a quarter of a million U.S.-born children of DACA recipients. DACA recipients in these households pay $613.8 million in mortgage payments and $2.3 billion in rental payments each year as well as tens of millions in annual taxes to the federal government, according to the analysis.
Answer: | noise | Allowing DACA to end would sow chaos and confusion, upending the lives of hundreds of thousands of young, hardworking people and their families. Of the more than 16 million people living in mixed immigration status families - where some in the family are U.S. citizens but others are not - about 1.5 million individuals live in households with a DACA recipient, including over a quarter of a million U.S.-born children of DACA recipients. DACA recipients in these households pay $613.8 million in mortgage payments and $2.3 billion in rental payments each year as well as tens of millions in annual taxes to the federal government, according to the analysis. | [
"noise",
"causal"
] | 0 |
causal20sc8602 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Facebook paid - I would call it, bribed - the Federal Trade Commission $5 billion to protect Mark Zuckerberg from personal liability in violating the privacy of millions of users. I didn't conjure that up. That was the clear statement of James Kohm, the agency's associate director of the division of enforcement, who conducted the Facebook investigation.
Answer: | noise | Facebook paid - I would call it, bribed - the Federal Trade Commission $5 billion to protect Mark Zuckerberg from personal liability in violating the privacy of millions of users. I didn't conjure that up. That was the clear statement of James Kohm, the agency's associate director of the division of enforcement, who conducted the Facebook investigation. | [
"noise",
"causal"
] | 0 |
causal20sc8603 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 last week's announcement of the $5 billion Facebook settlement, Kohm responded to Axios' David McCabe, who asked why, if the investigation was so exhaustive, was Zuckerberg, the CEO and controlling shareholder, with acknowledged control over every aspect of Facebook's business, not deposed?
Answer: | noise | At last week's announcement of the $5 billion Facebook settlement, Kohm responded to Axios' David McCabe, who asked why, if the investigation was so exhaustive, was Zuckerberg, the CEO and controlling shareholder, with acknowledged control over every aspect of Facebook's business, not deposed? | [
"noise",
"causal"
] | 0 |
causal20sc8604 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Part of getting this tremendous result with the tools we had is we didn't need to depose him, but we could use that to get more protections for the public, Kohm replied.
Answer: | noise | Part of getting this tremendous result with the tools we had is we didn't need to depose him, but we could use that to get more protections for the public, Kohm replied. | [
"noise",
"causal"
] | 0 |
causal20sc8605 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 the tremendous result consists mainly of a fine and establishing an easily ignored privacy committee on a board of directors Zuckerberg controls, the quid pro quo, cash for scotching the deposition, is pretty obvious. Pressed further, Kohm said, We got a lot of relief that we couldn't otherwise have obtained, and that is in some small part due on not going further. He added that testifying under oath would have opened Zuckerberg up to a huge amount of litigation outside of the Federal Trade Commission.
Answer: | noise | Since the tremendous result consists mainly of a fine and establishing an easily ignored privacy committee on a board of directors Zuckerberg controls, the quid pro quo, cash for scotching the deposition, is pretty obvious. Pressed further, Kohm said, We got a lot of relief that we couldn't otherwise have obtained, and that is in some small part due on not going further. He added that testifying under oath would have opened Zuckerberg up to a huge amount of litigation outside of the Federal Trade Commission. | [
"noise",
"causal"
] | 0 |
causal20sc8606 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Why that's something the FTC should concern itself with isn't clear.
Answer: | noise | Why that's something the FTC should concern itself with isn't clear. | [
"noise",
"causal"
] | 0 |
causal20sc8607 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: While FTC chair Joseph Simons gave the smarter, more political answer - the FTC had so much documentary evidence from Facebook that a deposition just wasn't necessary - Kohm gave the game away: Facebook offered cash to keep Zuckerberg's testimony under wraps. Kohm expanded on these comments to Business Insider: it was very important to Facebook to shield Zuckerberg, and the company offered more money in a settlement to ensure that. Otherwise, Facebook would have forced the FTC to take it to court.
Answer: | noise | While FTC chair Joseph Simons gave the smarter, more political answer - the FTC had so much documentary evidence from Facebook that a deposition just wasn't necessary - Kohm gave the game away: Facebook offered cash to keep Zuckerberg's testimony under wraps. Kohm expanded on these comments to Business Insider: it was very important to Facebook to shield Zuckerberg, and the company offered more money in a settlement to ensure that. Otherwise, Facebook would have forced the FTC to take it to court. | [
"noise",
"causal"
] | 0 |
causal20sc8608 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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's a name for this, which I said at the beginning: a bribe, or if you'd like to be more demure, a payoff. The FTC doesn't need the threat of court to bring in Zuckerberg for questioning.
Answer: | noise | There's a name for this, which I said at the beginning: a bribe, or if you'd like to be more demure, a payoff. The FTC doesn't need the threat of court to bring in Zuckerberg for questioning. | [
"noise",
"causal"
] | 0 |
causal20sc8609 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 agency has its own subpoena power.
Answer: | noise | The agency has its own subpoena power. | [
"noise",
"causal"
] | 0 |
causal20sc8610 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 even has its own lawyers in case a company won't settle. The lawyers have even conducted trials before!
Answer: | noise | It even has its own lawyers in case a company won't settle. The lawyers have even conducted trials before! | [
"noise",
"causal"
] | 0 |
causal20sc8611 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 idea that resisting a settlement could be used as a sufficient stick defies logic the FTC should be all too happy to take a miscreant company to court and achieve a result that exposes its wrongdoing to the public.
Answer: | noise | The idea that resisting a settlement could be used as a sufficient stick defies logic the FTC should be all too happy to take a miscreant company to court and achieve a result that exposes its wrongdoing to the public. | [
"noise",
"causal"
] | 0 |
causal20sc8612 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Arguing that you could get a better result without investigating not only makes no sense, it also reveals the corrupt game at the heart of high-level regulatory enforcement. Facebook bought the silence of its CEO for $5 billion.
Answer: | noise | Arguing that you could get a better result without investigating not only makes no sense, it also reveals the corrupt game at the heart of high-level regulatory enforcement. Facebook bought the silence of its CEO for $5 billion. | [
"noise",
"causal"
] | 0 |
causal20sc8613 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 problem for Facebook is that this was a split decision, and the FTC's Democratic members aren't keeping quiet about the corrupt bargain.
Answer: | noise | The problem for Facebook is that this was a split decision, and the FTC's Democratic members aren't keeping quiet about the corrupt bargain. | [
"noise",
"causal"
] | 0 |
causal20sc8614 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 an MSNBC segment remarkable for its news value, FTC commissioner Rohit Chopra told Kasie Hunt, I was frustrated that we stopped the investigation before we really knew what was going on.
Answer: | noise | In an MSNBC segment remarkable for its news value, FTC commissioner Rohit Chopra told Kasie Hunt, I was frustrated that we stopped the investigation before we really knew what was going on. | [
"noise",
"causal"
] | 0 |
causal20sc8615 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 did not collect the documents in Mark Zuckerberg's hands.
Answer: | noise | We did not collect the documents in Mark Zuckerberg's hands. | [
"noise",
"causal"
] | 0 |
causal20sc8616 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 did not hear his testimony under oath.
Answer: | noise | We did not hear his testimony under oath. | [
"noise",
"causal"
] | 0 |
causal20sc8617 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 commissioner of a federal agency saying that the agency took a payment in exchange for what he called blanket immunity for a top executive of the offending company.
Answer: | noise | This is a commissioner of a federal agency saying that the agency took a payment in exchange for what he called blanket immunity for a top executive of the offending company. | [
"noise",
"causal"
] | 0 |
causal20sc8618 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 what has become of accountability, and its roots go back well before the Trump era.
Answer: | noise | This is what has become of accountability, and its roots go back well before the Trump era. | [
"noise",
"causal"
] | 0 |
causal20sc8619 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 reminiscent of the foreclosure fraud settlement, when activists were told that the investigation could not be conducted because of the need to speed relief to borrowers (relief, I should add, that mostly never came). Law enforcement has unilaterally decided, without listening to public input, that settlements serve as accountability in all cases, no matter the violation, no matter the abuse.
Answer: | noise | It's reminiscent of the foreclosure fraud settlement, when activists were told that the investigation could not be conducted because of the need to speed relief to borrowers (relief, I should add, that mostly never came). Law enforcement has unilaterally decided, without listening to public input, that settlements serve as accountability in all cases, no matter the violation, no matter the abuse. | [
"noise",
"causal"
] | 0 |
causal20sc8620 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 defining down of justice degrades all of us.
Answer: | noise | This defining down of justice degrades all of us. | [
"noise",
"causal"
] | 0 |
causal20sc8621 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 not only sets a pathetic bar for what constitutes punishment, but it virtually ensures that law enforcement will have to return to a podium again, to announce that this settlement, with its rigid standards and monitoring, will finally solve the problem. Everyone knows it won't, but we play the game, we talk about record fines and stringent oversight as if any of it matters.
Answer: | noise | It not only sets a pathetic bar for what constitutes punishment, but it virtually ensures that law enforcement will have to return to a podium again, to announce that this settlement, with its rigid standards and monitoring, will finally solve the problem. Everyone knows it won't, but we play the game, we talk about record fines and stringent oversight as if any of it matters. | [
"noise",
"causal"
] | 0 |
causal20sc8622 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 a brutal cycle that continually brutalizes the American people, while corporate executives laugh and throw off ill-gotten gains as a cost of doing business.
Answer: | noise | It's a brutal cycle that continually brutalizes the American people, while corporate executives laugh and throw off ill-gotten gains as a cost of doing business. | [
"noise",
"causal"
] | 0 |
causal20sc8623 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 Chopra pointed out, Fining a company like Facebook a couple weeks of revenue is not going to fix the fundamental problem that we have with these digital platforms.
Answer: | noise | As Chopra pointed out, Fining a company like Facebook a couple weeks of revenue is not going to fix the fundamental problem that we have with these digital platforms. | [
"noise",
"causal"
] | 0 |
causal20sc8624 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: That's correct. Fining a company - which in effect just fines its shareholders, and not even that because the stock prices go up when investigations close - does nothing to protect the public. That's because protecting the public was never the point.
Answer: | noise | That's correct. Fining a company - which in effect just fines its shareholders, and not even that because the stock prices go up when investigations close - does nothing to protect the public. That's because protecting the public was never the point. | [
"noise",
"causal"
] | 0 |
causal20sc8625 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 was securing the bribe. Disrupting Democracy: When Big Tech Takes Over a City Sam Ross-Brown Google partner Sidewalk Labs wants to remake the Toronto waterfront as a privately run digital development.
Answer: | noise | It was securing the bribe. Disrupting Democracy: When Big Tech Takes Over a City Sam Ross-Brown Google partner Sidewalk Labs wants to remake the Toronto waterfront as a privately run digital development. | [
"noise",
"causal"
] | 0 |
causal20sc8626 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' 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 may really be a digital dystopia. Google Is Like Facebook - but a Lot Smarter Max Moran Unlike Mark Zuckerberg's company, Google knows how to wield soft power to avoid estranging Democrats.
Answer: | noise | It may really be a digital dystopia. Google Is Like Facebook - but a Lot Smarter Max Moran Unlike Mark Zuckerberg's company, Google knows how to wield soft power to avoid estranging Democrats. | [
"noise",
"causal"
] | 0 |
causal20sc8627 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Official Secrets: A Conversation With Director Gavin Hood David Dayen The story of Katharine Gun, a whistle-blower who exposed NSA spying in the lead-up to the Iraq War, gets the Hollywood treatment.
Answer: | noise | Official Secrets: A Conversation With Director Gavin Hood David Dayen The story of Katharine Gun, a whistle-blower who exposed NSA spying in the lead-up to the Iraq War, gets the Hollywood treatment. | [
"noise",
"causal"
] | 0 |