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fnxl100 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | In:O
July:O
2017:O
,:O
the:O
Company:O
paid:O
the:O
$:O
310:B-LitigationSettlementAmountAwardedToOtherParty
million:O
settlement:O
pursuant:O
to:O
the:O
terms:O
of:O
the:O
settlement:O
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.:O | In July 2017, the Company paid the $310 million settlement pursuant to the terms of the settlement agreement. | [
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fnxl101 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | (:O
3:O
):O
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was:O
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1.8:B-FiniteLivedIntangibleAssetsAccumulatedAmortization
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and:O
$:O
1.6:B-FiniteLivedIntangibleAssetsAccumulatedAmortization
million:O
as:O
June30:O
,:O
2020:O
and:O
June30:O
,:O
2019:O
,:O
respectively:O
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fnxl102 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | During:O
2020:O
,:O
2019:O
,:O
and:O
2018:O
,:O
0.4:O
million:O
,:O
1.1:O
million:O
,:O
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4.9:O
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the:O
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at:O
a:O
total:O
cost:O
of:O
$:O
63.7:B-StockRepurchasedAndRetiredDuringPeriodValue
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,:O
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173.4:B-StockRepurchasedAndRet... | During 2020, 2019, and 2018, 0.4 million, 1.1 million, and 4.9 million shares, respectively, were repurchased under the programs at a total cost of $63.7 million, $173.4 million, and $598.3 million, respectively. | [
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fnxl103 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | These:O
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included:O
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242:B-RestructuringAndRelatedCostCostIncurredToDate1
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related:O
to:O
lease:O
obligations:O
and:O
other:O
real:O
estate:O
costs:O
,:O
$:O
350:B-RestructuringAndRelatedCostCostIncurredToDate1
million:O
in:O
asset:O
impairments:O
,:O
$:O
420:B-RestructuringAndRelatedCostCostIncurr... | These charges included $242 million related to lease obligations and other real estate costs, $350 million in asset impairments, $420 million in employee severance and business transition costs and $140 million of information technology transformation and other exit costs. | [
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"O",
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fnxl104 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | In:O
January:O
2017:O
,:O
we:O
issued:O
65:O
million:O
shares:O
of:O
common:O
stock:O
in:O
a:O
public:O
offering:O
at:O
a:O
price:O
of:O
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29.00:B-SharesIssuedPricePerShare
per:O
share:O
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fnxl105 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
Company:O
recognizes:O
interest:O
and:O
penalties:O
in:O
the:O
income:O
tax:O
provision:O
in:O
its:O
Consolidated:O
Statements:O
of:O
Earnings:O
.:O
At:O
August31:O
,:O
2020:O
and:O
August31:O
,:O
2019:O
,:O
the:O
Company:O
had:O
accrued:O
interest:O
and:O
penalties:O
of:O
$:O
58:B-IncomeTaxExaminationPenaltiesAn... | The Company recognizes interest and penalties in the income tax provision in its Consolidated Statements of Earnings.At August31, 2020 and August31, 2019, the Company had accrued interest and penalties of $58 million and $47 million, respectively. | [
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fnxl106 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | In:O
August:O
2017:O
,:O
KKR:O
Capital:O
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LLC:O
received:O
$:O
1.5:B-RelatedPartyTransactionAmountsOfTransaction
million:O
for:O
services:O
rendered:O
in:O
connection:O
with:O
the:O
debt:O
refinancing:O
transaction:O
.:O | In August 2017, KKR Capital Markets LLC received $1.5 million for services rendered in connection with the debt refinancing transaction. | [
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fnxl107 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | There:O
was:O
a:O
$:O
115:B-GoodwillAcquiredDuringPeriod
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addition:O
to:O
the:O
carrying:O
value:O
of:O
the:O
Company:O
's:O
goodwill:O
during:O
the:O
year:O
ended:O
December31:O
,:O
2018:O
,:O
which:O
was:O
recognized:O
in:O
connection:O
with:O
the:O
TCA:O
acquisition:O
.:O | There was a $115 million addition to the carrying value of the Company's goodwill during the year ended December31, 2018, which was recognized in connection with the TCA acquisition. | [
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fnxl108 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | recorded:O
in:O
cost:O
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sales:O
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the:O
State:O
Settlement:O
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was:O
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4.4:B-LitigationSettlementAmountAwardedToOtherParty
billion:O
,:O
$:O
4.2:B-LitigationSettlementAmountAwardedToOtherParty
billion:O
,:O
and:O
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4.2:B-LitigationSettlementAmountAwardedToOtherPart... | recorded in cost of sales with respect to the State Settlement Agreements was approximately $4.4 billion, $4.2 billion, and $4.2 billion, respectively. | [
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fnxl109 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | (:O
k)Dividends:O
in:O
the:O
amount:O
of:O
$:O
125.22:B-PreferredStockDividendsPerShareDeclared
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share:O
were:O
declared:O
on:O
March:O
13:O
,:O
2020:O
and:O
include:O
dividends:O
from:O
the:O
original:O
issue:O
date:O
of:O
January:O
23:O
,:O
2020:O
through:O
April:O
30:O
,:O
2020:O
.:O | (k)Dividends in the amount of $125.22 per share were declared on March 13, 2020 and include dividends from the original issue date of January 23, 2020 through April 30, 2020. | [
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fnxl110 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | In:O
such:O
case:O
,:O
the:O
Company:O
would:O
no:O
longer:O
be:O
obligated:O
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transfer:O
the:O
Retail:O
Project:O
Property:O
to:O
the:O
Retail:O
Project:O
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the:O
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Parking:O
Parcel:O
to:O
CPHP:O
and:O
instead:O
would:O
be:O
obligated:O
to:O
issue:O
436,498:O
Class:O
A:O
Common:O
Units:O
of:O
the:O
Operating... | In such case, the Company would no longer be obligated to transfer the Retail Project Property to the Retail Project or the CP Parking Parcel to CPHP and instead would be obligated to issue 436,498 Class A Common Units of the Operating Company to CPHP or its designees and CPHP or its designees will purchase an equal am... | [
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fnxl111 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | During:O
2020:O
,:O
we:O
repurchased:O
3.0:O
million:O
shares:O
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our:O
common:O
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1.1:B-StockRepurchasedDuringPeriodValue
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fnxl112 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | As:O
of:O
December31:O
,:O
2020:O
,:O
the:O
Company:O
recorded:O
$:O
60.1:B-BusinessCombinationContingentConsiderationLiability
million:O
of:O
contingent:O
liabilities:O
on:O
its:O
Consolidated:O
Balance:O
Sheet:O
,:O
all:O
of:O
which:O
was:O
long:O
-:O
term:O
.:O | As of December31, 2020, the Company recorded $60.1 million of contingent liabilities on its Consolidated Balance Sheet, all of which was long-term. | [
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fnxl113 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | For:O
the:O
year:O
ended:O
December:O
31:O
,:O
2019:O
,:O
realized:O
foreign:O
exchange:O
gain:O
was:O
$:O
0.2:B-ForeignCurrencyTransactionGainLossRealized
million:O
and:O
was:O
recognized:O
in:O
the:O
Company:O
’s:O
consolidated:O
statement:O
of:O
operations:O
in:O
interest:O
expense:O
,:O
net:O
.:O | For the year ended December 31, 2019, realized foreign exchange gain was $0.2 million and was recognized in the Company’s consolidated statement of operations in interest expense, net. | [
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fnxl114 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | On:O
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500:B-ProceedsFromLinesOfCredit
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.:O | On April5, 2019, the Company drew down an additional $500 million under the Amended Credit Agreement. | [
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fnxl115 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | On:O
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agreement:O
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a:O
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party:O
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business:O
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for:O
$:O
185:B-DisposalGroupIncludingDiscontinuedOperationConsideration
million:O
,:O
subject:O... | On August 1, 2017, the Company entered into an agreement with a third party to sell its Enterprise Information Solutions (“EIS”) business included in Other for $185 million, subject to adjustments for net debt and working capital. | [
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fnxl116 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
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loss:O
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a:O
valuation:O
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of:O
the:O
losses:O
in:O
foreign:O
jurisdictions:O
of:O
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3,753:B-OperatingLossCarryforwards... | The Company does not believe it is more likely than not that any of the loss carryforwards can be used and has provided a valuation allowance against the tax benefit of the losses in foreign jurisdictions of $3,753 and $474 at December31, 2019 and 2018, respectively. | [
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fnxl117 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | NVRM:O
recorded:O
a:O
fair:O
value:O
adjustment:O
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expense:O
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198:B-DerivativeGainLossOnDerivativeNet
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the:O
year:O
ended:O
December31:O
,:O
2019:O
,:O
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fair:O
value:O
adjustments:O
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income:O
of:O
$:O
8,485:B-DerivativeGainLossOnDerivativeNet
and:O
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1,638:B-DerivativeGainLossOnDerivativeNet... | NVRM recorded a fair value adjustment to expense of $198 for the year ended December31, 2019, and fair value adjustments to income of $8,485 and $1,638 for the years ended December31, 2018 and 2017, respectively.Unrealized gains/losses from the change in the fair value measurements are included in earnings as a compone... | [
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fnxl118 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | In:O
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,:O
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PSP:O
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proceeds:O
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302.5:B-RelatedPartyTransactionAmountsOfTransaction
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be:O
a:O
related:O
party:O
once:O
it:O
lost:O
control:O
of:O
its:O
board:O
seat... | In 2019, following the IPO, PSP Investments received proceeds of $302.5 million upon redemption of our series A preferred stock and ceased to be a related party once it lost control of its board seat. | [
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fnxl119 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | During:O
fiscal:O
years:O
2019:O
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2018:O
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2017:O
,:O
we:O
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a:O
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0.2:B-ForeignCurrencyTransactionGainLossRealized
million:O
gain:O
,:O
a:O
$:O
2.9:B-ForeignCurrencyTransactionGainLossRealized
million:O
loss:O
and:O
a:O
$:O
12.8:B-ForeignCurrencyTransactionGainLossRealized
million:O
gain:O
,:O
resp... | During fiscal years 2019, 2018 and 2017, we recognized a $0.2 million gain, a $2.9 million loss and a $12.8 million gain, respectively, on the change in fair value of these contracts, which was offset by a $0.9 million loss, a $2.7 million gain and a $14.1 million loss, respectively, on the change in the currency compo... | [
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fnxl120 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Of:O
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150.7:B-DeferredTaxAssetsOperatingLossCarryforwardsSubjectToExpiration
million:O
begin:O
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expire:O
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the:O
year:O
ending:O
December31:O
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.:O | Of the federal net operating loss carryforwards, $150.7 million begin to expire in the year ending December31, 2037. | [
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fnxl121 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
Company:O
estimates:O
that:O
$:O
61:B-BusinessAcquisitionPurchasePriceAllocationGoodwillExpectedTaxDeductibleAmount
million:O
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$:O
46million:O
of:O
the:O
goodwill:O
acquired:O
in:O
fiscal:O
2021:O
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2020:O
,:O
respectively:O
,:O
will:O
be:O
deductible:O
for:O
income:O
tax:O
purposes:O
.:O | The Company estimates that $61 million and $46million of the goodwill acquired in fiscal 2021 and 2020, respectively, will be deductible for income tax purposes. | [
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fnxl122 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | In:O
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a:O
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-:O
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112.5:B-TaxCutsAndJobsActOf2017IncomeTaxExpenseBenefit
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a:O
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$:O
111.2... | In 2018, based on our analysis of the TCJA’s income tax effects, we recorded a total non-cash charge of $112.5 million to income tax expense, comprised of a provisional estimate of $111.2 million recorded in the 2018 first quarter and an additional $1.3 million charge in the 2018 fourth quarter. | [
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fnxl123 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Additionally:O
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255:B-IncomeTaxesPaid
million:O
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fnxl124 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | (:O
2)Net:O
of:O
tax:O
(:O
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of:O
$:O
0:B-ReclassificationFromAociCurrentPeriodTax
,:O
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89:B-ReclassificationFromAociCurrentPeriodTax
and:O
$:O
0:B-ReclassificationFromAociCurrentPeriodTax
for:O
gains:O
/:O
losses:O
on:O
investment:O
securities:O
,:O
postretirement:O
benefit:O
items:O
and:O
foreign:... | (2)Net of tax (benefit)/expense of $0, $89 and $0 for gains/losses on investment securities, postretirement benefit items and foreign currency translation, respectively, for the period ended June30, 2020. | [
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fnxl125 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
remaining:O
unamortized:O
basis:O
difference:O
was:O
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203:B-EquityMethodInvestmentDifferenceBetweenCarryingAmountAndUnderlyingEquity
million:O
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396:B-EquityMethodInvestmentDifferenceBetweenCarryingAmountAndUnderlyingEquity
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as:O
of:O
December31:O
,:O
2019:O
and:O
2018:O
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.:O | The remaining unamortized basis difference was $203 million and $396 million as of December31, 2019 and 2018, respectively. | [
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fnxl126 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
Company:O
excluded:O
$:O
55,900:B-IndefiniteLivedIntangibleAssetsExcludingGoodwill
of:O
indefinite:O
-:O
lived:O
trademarks:O
and:O
tradenames:O
that:O
were:O
not:O
subject:O
to:O
amortization:O
from:O
the:O
table:O
above:O
.:O | The Company excluded $55,900 of indefinite-lived trademarks and tradenames that were not subject to amortization from the table above. | [
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"O",
"B-IndefiniteLivedIntangibleAssetsExcludingGoodwill",
"O",
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fnxl127 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
initial:O
maximum:O
settlement:O
rate:O
of:O
0.6272:O
was:O
calculated:O
using:O
an:O
initial:O
reference:O
price:O
of:O
$:O
159.45:B-SharesIssuedPricePerShare
,:O
equal:O
to:O
the:O
last:O
reported:O
sale:O
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of:O
the:O
Company:O
's:O
common:O
stock:O
on:O
November:O
7:O
,:O
2019:O
.:O | The initial maximum settlement rate of 0.6272 was calculated using an initial reference price of $159.45, equal to the last reported sale price of the Company's common stock on November 7, 2019. | [
"O",
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"O",
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fnxl128 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Under:O
the:O
term:O
of:O
these:O
contracts:O
,:O
the:O
Company:O
will:O
exchange:O
the:O
semi:O
-:O
annual:O
fixed:O
rate:O
payments:O
on:O
U.S.:O
denominated:O
debt:O
for:O
fixed:O
rate:O
payments:O
of:O
0:B-DerivativeFixedInterestRate
%:O
to:O
4.508:B-DerivativeFixedInterestRate
%:O
in:O
Euros:O
and:O
0:B-Derivative... | Under the term of these contracts, the Company will exchange the semi-annual fixed rate payments on U.S. denominated debt for fixed rate payments of 0% to 4.508% in Euros and 0% to 3.588% in Japanese Yen. | [
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"O",
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"O",
"O",
"B-DerivativeFixedInterestRate",
"O",
"O",
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fnxl129 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | As:O
such:O
,:O
the:O
Company:O
recorded:O
severance:O
benefits:O
charges:O
of:O
$:O
1.4:B-SeveranceCosts1
million:O
in:O
the:O
fourth:O
quarter:O
.:O | As such, the Company recorded severance benefits charges of $1.4 million in the fourth quarter. | [
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"O",
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"O",
"O",
"O",
"O",
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"O",
"O",
"B-SeveranceCosts1",
"O",
"O",
"O",
"O",
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fnxl130 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
cumulative:O
impact:O
of:O
adopting:O
Topic:O
606:O
on:O
January:O
1:O
,:O
2018:O
was:O
an:O
increase:O
in:O
retained:O
earnings:O
within:O
stockholders:O
’:O
equity:O
of:O
$:O
117.5:B-CumulativeEffectOfNewAccountingPrincipleInPeriodOfAdoption
million:O
.:O | The cumulative impact of adopting Topic 606 on January 1, 2018 was an increase in retained earnings within stockholders’ equity of $117.5 million. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
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"O",
"O",
"O",
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"B-CumulativeEffectOfNewAccountingPrincipleInPeriodOfAdoption",
"O",
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fnxl131 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
Term:O
LoanA-1:O
issuance:O
costs:O
are:O
amortized:O
to:O
interest:O
expense:O
over:O
the:O
term:O
of:O
the:O
loan:O
,:O
and:O
as:O
of:O
July2:O
,:O
2021:O
,:O
issuance:O
costs:O
of:O
$:O
5:B-DeferredFinanceCostsNet
million:O
remained:O
unamortized:O
.:O | The Term LoanA-1 issuance costs are amortized to interest expense over the term of the loan, and as of July2, 2021, issuance costs of $5 million remained unamortized. | [
"O",
"O",
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"O",
"O",
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"O",
"O",
"O",
"O",
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"O",
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"O",
"O",
"O",
"O",
"O",
"O",
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"B-DeferredFinanceCostsNet",
"O",
"O",
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fnxl132 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | During:O
March:O
and:O
April:O
2019:O
,:O
the:O
Company:O
agreed:O
in:O
principle:O
to:O
settle:O
a:O
substantial:O
majority:O
of:O
the:O
coal:O
mine:O
dust:O
lawsuits:O
in:O
Kentucky:O
and:O
West:O
Virginia:O
for:O
$:O
340:B-LitigationSettlementAmountAwardedToOtherParty
million:O
,:O
including:O
the:O
jury:O
verdict:O... | During March and April 2019, the Company agreed in principle to settle a substantial majority of the coal mine dust lawsuits in Kentucky and West Virginia for $340 million, including the jury verdict in April 2018 in the Kentucky case mentioned above. | [
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"B-LitigationSettlementAmountAwardedToOtherParty",
"O",
"O",
"O",
"O",
"O",
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"O",
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fnxl133 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
Company:O
recorded:O
a:O
gain:O
of:O
$:O
3.2:B-DerivativeGainLossOnDerivativeNet
million:O
on:O
the:O
change:O
in:O
the:O
estimated:O
fair:O
value:O
of:O
the:O
derivative:O
liability:O
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through:O
June:O
30:O
,:O
2020:O
,:O
which:O
is:O
reflected:O
as:O
a:O
non:O
-:O
operating:O
expense:O
in:O
the... | The Company recorded a gain of $3.2 million on the change in the estimated fair value of the derivative liability from issuance through June 30, 2020, which is reflected as a non-operating expense in the consolidated statements of operations. | [
"O",
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fnxl134 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Gross:O
profit:O
for:O
the:O
first:O
quarter:O
of:O
2019:O
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$:O
11:B-RestructuringAndRelatedCostIncurredCost
of:O
charges:O
related:O
to:O
the:O
Global:O
Growth:O
and:O
Efficiency:O
Program:O
.:O | Gross profit for the first quarter of 2019 includes $11 of charges related to the Global Growth and Efficiency Program. | [
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"O",
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] |
fnxl135 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Change:O
in:O
unrecognized:O
pension:O
and:O
postretirement:O
benefit:O
costs:O
,:O
$:O
732:B-OtherComprehensiveIncomeLossPensionAndOtherPostretirementBenefitPlansTax
tax:O
effect:O | Change in unrecognized pension and postretirement benefit costs, $732 tax effect | [
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"O",
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"O",
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"B-OtherComprehensiveIncomeLossPensionAndOtherPostretirementBenefitPlansTax",
"O",
"O"
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] |
fnxl136 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | 2019:O
and:O
2018:O
both:O
include:O
$:O
185:B-IndefiniteLivedIntangibleAssetsExcludingGoodwill
million:O
within:O
our:O
Market:O
Intelligence:O
segment:O
for:O
the:O
SNL:O
tradename:O
.:O | 2019 and 2018 both include $185 million within our Market Intelligence segment for the SNL tradename. | [
"O",
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"O",
"O",
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] |
fnxl137 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | As:O
a:O
result:O
,:O
management:O
concluded:O
the:O
impairment:O
was:O
other:O
-:O
than:O
-:O
temporary:O
and:O
recorded:O
an:O
impairment:O
charge:O
of:O
$:O
63:B-EquityMethodInvestmentOtherThanTemporaryImpairment
million:O
,:O
reflected:O
in:O
loss:O
from:O
discontinued:O
operations:O
after:O
income:O
taxes:O
.:O | As a result, management concluded the impairment was other-than-temporary and recorded an impairment charge of $63 million, reflected in loss from discontinued operations after income taxes. | [
"O",
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"B-EquityMethodInvestmentOtherThanTemporaryImpairment",
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fnxl138 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | In:O
the:O
years:O
ended:O
December31:O
,:O
2020:O
and:O
2019:O
,:O
the:O
Company:O
recorded:O
operating:O
lease:O
costs:O
of:O
$:O
29million:O
and:O
$:O
24:B-OperatingLeaseCost
million:O
,:O
respectively:O
,:O
primarily:O
in:O
Cost:O
of:O
sales:O
in:O
the:O
Consolidated:O
Statement:O
of:O
Operations:O
.:O | In the years ended December31, 2020 and 2019, the Company recorded operating lease costs of $29million and $24 million, respectively, primarily in Cost of sales in the Consolidated Statement of Operations. | [
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fnxl139 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
Company:O
anticipates:O
approximately:O
$:O
66:B-DecreaseInUnrecognizedTaxBenefitsIsReasonablyPossible
million:O
of:O
unrecognized:O
tax:O
benefits:O
will:O
reverse:O
within:O
the:O
next:O
12:O
months:O
.:O | The Company anticipates approximately $66 million of unrecognized tax benefits will reverse within the next 12 months. | [
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"O",
"B-DecreaseInUnrecognizedTaxBenefitsIsReasonablyPossible",
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"O",
"O",
"O",
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fnxl140 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
remaining:O
accrual:O
of:O
$:O
41:B-RestructuringReserve
million:O
was:O
included:O
in:O
Accrued:O
liabilities:O
in:O
the:O
Company:O
’s:O
Consolidated:O
Balance:O
Sheet:O
at:O
December31:O
,:O
2017:O
.:O | The remaining accrual of $41 million was included in Accrued liabilities in the Company’s Consolidated Balance Sheet at December31, 2017. | [
"O",
"O",
"O",
"O",
"O",
"B-RestructuringReserve",
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"O",
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] | [
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",",
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] |
fnxl141 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
Company:O
has:O
elected:O
to:O
match:O
100:B-DefinedContributionPlanEmployerMatchingContributionPercentOfMatch
%:O
of:O
employee:O
contributions:O
between:O
0:O
%:O
and:O
4:O
%:O
of:O
their:O
salary:O
,:O
with:O
an:O
annual:O
limit:O
of:O
$:O
11,400:O
.:O | The Company has elected to match 100% of employee contributions between 0% and 4% of their salary, with an annual limit of $11,400. | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-DefinedContributionPlanEmployerMatchingContributionPercentOfMatch",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"11,400",
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] |
fnxl142 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
total:O
interest:O
paid:O
for:O
these:O
programs:O
was:O
$:O
0.4:B-InterestExpense
million:O
,:O
$:O
0.8:B-InterestExpense
million:O
and:O
$:O
0.6:B-InterestExpense
million:O
for:O
the:O
years:O
ended:O
December31:O
,:O
2020:O
,:O
2019:O
and:O
2018:O
,:O
respectively:O
.:O | The total interest paid for these programs was $0.4 million, $0.8 million and $0.6 million for the years ended December31, 2020, 2019 and 2018, respectively. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-InterestExpense",
"O",
"O",
"O",
"B-InterestExpense",
"O",
"O",
"O",
"B-InterestExpense",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | [
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"December31",
",",
"2020",
",",
"2019",
"and",
"2018",
",",
"respectiv... |
fnxl143 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Identifiable:O
intangible:O
assets:O
acquired:O
as:O
part:O
of:O
the:O
Aquion:O
acquisition:O
include:O
$:O
15.7:O
million:O
of:O
indefinite:O
-:O
lived:O
trade:O
name:O
intangible:O
assets:O
and:O
$:O
78.8:B-FinitelivedIntangibleAssetsAcquired1
million:O
of:O
definite:O
-:O
lived:O
customer:O
relationships:O
with:O
an... | Identifiable intangible assets acquired as part of the Aquion acquisition include $15.7 million of indefinite-lived trade name intangible assets and $78.8 million of definite-lived customer relationships with an estimated useful life of 15 years. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-FinitelivedIntangibleAssetsAcquired1",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
... | [
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"78.8",
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"definite",... |
fnxl144 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
outstanding:O
borrowings:O
at:O
December:O
31:O
,:O
2018:O
bore:O
interest:O
at:O
an:O
average:O
rate:O
of:O
2.97:B-LineOfCreditFacilityInterestRateAtPeriodEnd
%:O
.:O | The outstanding borrowings at December 31, 2018 bore interest at an average rate of 2.97%. | [
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LineOfCreditFacilityInterestRateAtPeriodEnd",
"O",
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] | [
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"at",
"an",
"average",
"rate",
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"%",
"."
] |
fnxl145 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
remaining:O
net:O
book:O
value:O
of:O
the:O
tradenames:O
attributable:O
to:O
the:O
Transportation:O
&:O
Industrial:O
segment:O
at:O
December31:O
,:O
2020:O
was:O
approximately:O
$:O
289:B-IndefiniteLivedIntangibleAssetsExcludingGoodwill
million:O
,:O
which:O
represents:O
fair:O
value:O
.:O | The remaining net book value of the tradenames attributable to the Transportation & Industrial segment at December31, 2020 was approximately $289 million, which represents fair value. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-IndefiniteLivedIntangibleAssetsExcludingGoodwill",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | [
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",",
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fnxl146 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Of:O
the:O
accrual:O
for:O
facility:O
closures:O
and:O
related:O
costs:O
,:O
as:O
of:O
September30:O
,:O
2018:O
,:O
$:O
1.5:B-RestructuringReserve
million:O
is:O
included:O
in:O
accrued:O
expenses:O
and:O
other:O
current:O
liabilities:O
and:O
$:O
0.9:B-RestructuringReserve
million:O
is:O
included:O
in:O
other:O
liabili... | Of the accrual for facility closures and related costs, as of September30, 2018, $1.5 million is included in accrued expenses and other current liabilities and $0.9 million is included in other liabilities in the Consolidated Balance Sheets. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
"O",
"O",
"O",
"B-RestructuringReserve",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-RestructuringReserve",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"... | [
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fnxl147 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Our:O
noncontrolling:O
interest:O
in:O
each:O
of:O
these:O
limited:O
partnerships:O
is:O
generally:O
less:O
than:O
15:B-VariableInterestEntityOwnershipPercentage
%:O
of:O
the:O
partnership:O
ownership:O
interests:O
.:O | Our noncontrolling interest in each of these limited partnerships is generally less than 15% of the partnership ownership interests. | [
"O",
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"O",
"O",
"O",
"O",
"O",
"O",
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"O",
"O",
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"O",
"O",
"O",
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"O",
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] | [
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"."
] |
fnxl148 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Marketable:O
equity:O
securities:O
totaled:O
$:O
1.3:B-EquitySecuritiesFvNi
billion:O
as:O
of:O
December31:O
,:O
2019:O
.:O | Marketable equity securities totaled $1.3 billion as of December31, 2019. | [
"O",
"O",
"O",
"O",
"O",
"B-EquitySecuritiesFvNi",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | [
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"$",
"1.3",
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"as",
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",",
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"."
] |
fnxl149 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Xilinx:O
will:O
match:O
up:O
to:O
50:O
%:O
of:O
the:O
first:O
8:B-DefinedContributionPlanEmployerMatchingContributionPercent
%:O
of:O
an:O
employee:O
's:O
compensation:O
that:O
the:O
employee:O
contributed:O
to:O
their:O
401(k:O
):O
accounts:O
.:O | Xilinx will match up to 50% of the first 8% of an employee's compensation that the employee contributed to their 401(k) accounts. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"B-DefinedContributionPlanEmployerMatchingContributionPercent",
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"O",
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"O",
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"O",
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] |
fnxl150 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Losses:O
before:O
income:O
taxes:O
derived:O
from:O
international:O
operations:O
during:O
2020:O
,:O
2019:O
and:O
2018:O
were:O
$:O
9,212:B-IncomeLossFromContinuingOperationsBeforeIncomeTaxesForeign
,:O
$:O
2,736:B-IncomeLossFromContinuingOperationsBeforeIncomeTaxesForeign
,:O
and:O
$:O
4,945:B-IncomeLossFromContinuing... | Losses before income taxes derived from international operations during 2020, 2019 and 2018 were $9,212, $2,736, and $4,945, respectively. | [
"O",
"O",
"O",
"O",
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"O",
"O",
"O",
"O",
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"B-IncomeLossFromContinuingOperationsBeforeIncomeTaxesForeign",
"O",
"O",
"B-IncomeLossFromContinuingOperationsBeforeIncomeTaxesForeign",
"O",
"O",
"O",
"B-IncomeLossFromContinuingOperations... | [
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fnxl151 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | In:O
2019:O
and:O
2020:O
,:O
the:O
company:O
deferred:O
$:O
0.1:B-ContractWithCustomerAssetNet
million:O
and:O
$:O
6:B-ContractWithCustomerAssetNet
million:O
as:O
regulatory:O
assets:O
.:O | In 2019 and 2020, the company deferred $0.1 million and $6 million as regulatory assets. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"B-ContractWithCustomerAssetNet",
"O",
"O",
"O",
"B-ContractWithCustomerAssetNet",
"O",
"O",
"O",
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] |
fnxl152 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Net:O
capitalized:O
internal:O
-:O
use:O
software:O
development:O
costs:O
were:O
$:O
55.7:B-CapitalizedComputerSoftwareNet
million:O
and:O
$:O
37.4:B-CapitalizedComputerSoftwareNet
million:O
at:O
December:O
31:O
,:O
2019:O
and:O
2018:O
,:O
respectively:O
,:O
and:O
are:O
included:O
in:O
Computer:O
equipment:O
and:O
soft... | Net capitalized internal-use software development costs were $55.7 million and $37.4 million at December 31, 2019 and 2018, respectively, and are included in Computer equipment and software in the table above. | [
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
"B-CapitalizedComputerSoftwareNet",
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"O",
"O",
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fnxl153 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | In:O
the:O
first:O
quarter:O
of:O
2018:O
,:O
DT:O
,:O
our:O
majority:O
stockholder:O
and:O
an:O
affiliated:O
purchaser:O
,:O
purchased:O
3.3:O
million:O
additional:O
shares:O
of:O
our:O
common:O
stock:O
at:O
an:O
aggregate:O
market:O
value:O
of:O
$:O
200:B-StockRepurchasedDuringPeriodValue
million:O
in:O
the:O
public:O... | In the first quarter of 2018, DT, our majority stockholder and an affiliated purchaser, purchased 3.3 million additional shares of our common stock at an aggregate market value of $200 million in the public market or from other parties, in accordance with the rules of the SEC and other applicable legal requirements. | [
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"O",
"O",
"O",
"O",
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fnxl154 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | As:O
such:O
,:O
we:O
recorded:O
an:O
$:O
8.2:B-OperatingLossCarryforwardsValuationAllowance
million:O
valuation:O
allowance:O
relating:O
to:O
the:O
tax:O
effect:O
of:O
state:O
net:O
operating:O
loss:O
carryforwards:O
as:O
of:O
December31:O
,:O
2020:O
.:O | As such, we recorded an $8.2 million valuation allowance relating to the tax effect of state net operating loss carryforwards as of December31, 2020. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-OperatingLossCarryforwardsValuationAllowance",
"O",
"O",
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fnxl155 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
carrying:O
value:O
of:O
our:O
equity:O
method:O
investment:O
is:O
$:O
263:B-EquityMethodInvestmentDifferenceBetweenCarryingAmountAndUnderlyingEquity
million:O
and:O
$:O
246:B-EquityMethodInvestmentDifferenceBetweenCarryingAmountAndUnderlyingEquity
million:O
higher:O
than:O
the:O
underlying:O
equity:O
in:O
the:O
n... | The carrying value of our equity method investment is $263 million and $246 million higher than the underlying equity in the net assets of the investee at December31, 2019 and 2018, respectively, primarily due to guarantees, which we discuss below, interest capitalized on the investment prior to the JV commencing its p... | [
"O",
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fnxl156 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | During:O
2021:O
,:O
we:O
repaid:O
the:O
remaining:O
$:O
890:B-RepaymentsOfDebt
million:O
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$:O
320:B-RepaymentsOfDebt
million:O
balances:O
related:O
to:O
the:O
$:O
925:O
million:O
and:O
$:O
800:O
million:O
term:O
loans:O
,:O
respectively:O
.:O | During 2021, we repaid the remaining $890 million and $320 million balances related to the $925 million and $800 million term loans, respectively. | [
"O",
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"O",
"O",
"O",
"O",
"O",
"O",
"B-RepaymentsOfDebt",
"O",
"O",
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fnxl157 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Consequently:O
,:O
the:O
Company:O
recognized:O
a:O
charge:O
of:O
$:O
51.2:B-EquityMethodInvestmentOtherThanTemporaryImpairment
million:O
in:O
order:O
to:O
write:O
down:O
the:O
carrying:O
amount:O
of:O
the:O
investment:O
to:O
zero:O
.:O | Consequently, the Company recognized a charge of $51.2 million in order to write down the carrying amount of the investment to zero. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"B-EquityMethodInvestmentOtherThanTemporaryImpairment",
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"O",
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"O",
"O",
"O",
"O",
"O",
"O",
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fnxl158 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | At:O
year:O
-:O
end:O
2020:O
,:O
we:O
had:O
approximately:O
$:O
3,938:O
million:O
of:O
primarily:O
state:O
and:O
foreign:O
net:O
operating:O
losses:O
,:O
of:O
which:O
$:O
2,315:B-DeferredTaxAssetsOperatingLossCarryforwardsSubjectToExpiration
million:O
will:O
expire:O
through:O
2040:O
.:O | At year-end 2020, we had approximately $3,938 million of primarily state and foreign net operating losses, of which $2,315 million will expire through 2040. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
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"O",
"O",
"O",
"O",
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"B-DeferredTaxAssetsOperatingLossCarryforwardsSubjectToExpiration",
"O",
"O",
"O",
"O",
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fnxl159 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
aggregate:O
consideration:O
for:O
these:O
acquisitions:O
consisted:O
of:O
$:O
12.0:O
million:O
paid:O
or:O
payable:O
in:O
cash:O
,:O
subject:O
to:O
certain:O
adjustments:O
,:O
and:O
288,666:O
shares:O
of:O
Quanta:O
common:O
stock:O
,:O
which:O
had:O
a:O
fair:O
value:O
of:O
$:O
8.3:B-BusinessCombinationConsiderati... | The aggregate consideration for these acquisitions consisted of $12.0 million paid or payable in cash, subject to certain adjustments, and 288,666 shares of Quanta common stock, which had a fair value of $8.3 million as of the respective acquisition date of the applicable acquired business. | [
"O",
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"O",
"O",
"O",
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"O",
"O",
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"B-BusinessCombinationConsiderationTransferredEquityInter... | [
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fnxl160 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Unallocated:O
departments:O
include:O
depreciation:O
of:O
$:O
20.6:B-DepreciationDepletionAndAmortization
million:O
,:O
$:O
22.7:B-DepreciationDepletionAndAmortization
million:O
and:O
$:O
21.2:B-DepreciationDepletionAndAmortization
million:O
in:O
2019:O
,:O
2018:O
and:O
2017:O
,:O
respectively:O
.:O | Unallocated departments include depreciation of $20.6 million, $22.7 million and $21.2 million in 2019, 2018 and 2017, respectively. | [
"O",
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"O",
"O",
"O",
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"O",
"B-DepreciationDepletionAndAmortization",
"O",
"O",
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"O",
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"O",
"O",
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] |
fnxl161 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Total:O
net:O
accrued:O
interest:O
was:O
approximately:O
$:O
252million:O
,:O
$:O
205:B-UnrecognizedTaxBenefitsInterestOnIncomeTaxesAccrued
million:O
,:O
and:O
$:O
181:B-UnrecognizedTaxBenefitsInterestOnIncomeTaxesAccrued
million:O
(:O
net:O
of:O
tax:O
benefit:O
):O
at:O
September30:O
,:O
2021:O
,:O
2020:O
and:O
2019:O... | Total net accrued interest was approximately $252million, $205 million, and $181 million (net of tax benefit) at September30, 2021, 2020 and 2019, respectively. | [
"O",
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"O",
"O",
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fnxl162 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
ESPP:O
allows:O
employees:O
to:O
purchase:O
shares:O
of:O
the:O
Company:O
's:O
common:O
stock:O
at:O
a:O
15:B-SharebasedCompensationArrangementBySharebasedPaymentAwardPurchasePriceOfCommonStockPercent
percent:O
discount:O
from:O
the:O
lower:O
of:O
the:O
Company:O
’s:O
stock:O
price:O
on:O
(:O
i:O
):O
the:O
first:... | The ESPP allows employees to purchase shares of the Company's common stock at a 15 percent discount from the lower of the Company’s stock price on (i) the first day of the offering period or on (ii) the last day of the purchase period and also allows employees to reduce their percentage election once during a six-month... | [
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"B-SharebasedCompensationArrangementBySharebasedPaymentAwardPurchasePriceOfCommonStockPercent",
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fnxl163 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Pursuant:O
to:O
the:O
agreement:O
,:O
McKesson:O
’s:O
purchase:O
consideration:O
was:O
subject:O
to:O
an:O
additional:O
$:O
160:B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh
million:O
of:O
contingent:O
consideration:O
based:O
on:O
CMM:O
’s:O
financial:O
performance:O
for:O
2018:O
and:... | Pursuant to the agreement, McKesson’s purchase consideration was subject to an additional $160 million of contingent consideration based on CMM’s financial performance for 2018 and 2019. | [
"O",
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"B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh",
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fnxl164 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Trade:O
accounts:O
receivable:O
as:O
of:O
December:O
31:O
,:O
2018:O
is:O
net:O
of:O
an:O
allowance:O
for:O
doubtful:O
accounts:O
of:O
$:O
3:B-AllowanceForDoubtfulAccountsReceivable
million:O
.:O | Trade accounts receivable as of December 31, 2018 is net of an allowance for doubtful accounts of $3 million. | [
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"O",
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"O",
"O",
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"B-AllowanceForDoubtfulAccountsReceivable",
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fnxl165 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Operating:O
lease:O
costs:O
for:O
the:O
year:O
ended:O
2019:O
totaled:O
$:O
14.0:B-OperatingLeaseCost
million:O
.:O | Operating lease costs for the year ended 2019 totaled $14.0 million. | [
"O",
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"O",
"O",
"O",
"O",
"O",
"B-OperatingLeaseCost",
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] |
fnxl166 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Quarter:O
ended:O
March:O
31:O
,:O
2019:O
::O
The:O
Company:O
recorded:O
restructuring:O
expense:O
of:O
$:O
14:B-LitigationSettlementExpense
million:O
primarily:O
related:O
to:O
Drivetrain:O
and:O
Engine:O
segment:O
actions:O
designed:O
to:O
improve:O
future:O
profitability:O
and:O
competitiveness:O
.:O | Quarter ended March 31, 2019: The Company recorded restructuring expense of $14 million primarily related to Drivetrain and Engine segment actions designed to improve future profitability and competitiveness. | [
"O",
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"B-LitigationSettlementExpense",
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... |
fnxl167 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
Company:O
paid:O
$:O
311:B-InterestPaid
million:O
,:O
$:O
312:B-InterestPaid
million:O
and:O
$:O
330:B-InterestPaid
million:O
of:O
interest:O
on:O
debt:O
in:O
2020:O
,:O
2019:O
and:O
2018:O
,:O
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.:O | The Company paid $311 million, $312 million and $330 million of interest on debt in 2020, 2019 and 2018, respectively. | [
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"."
] |
fnxl168 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Income:O
taxes:O
,:O
net:O
of:O
refunds:O
,:O
paid:O
during:O
the:O
years:O
ended:O
December31:O
,:O
2019:O
,:O
2018:O
and:O
2017:O
were:O
$:O
363:B-IncomeTaxesPaidNet
million:O
,:O
$:O
288:B-IncomeTaxesPaidNet
million:O
and:O
$:O
526:B-IncomeTaxesPaidNet
million:O
,:O
respectively:O
.:O | Income taxes, net of refunds, paid during the years ended December31, 2019, 2018 and 2017 were $363 million, $288 million and $526 million, respectively. | [
"O",
"O",
"O",
"O",
"O",
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
"B-IncomeTaxesPaidNet",
"O",
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"O",
"B-IncomeTaxesPaidNet",
"O",
"O",
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fnxl169 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | In:O
the:O
analysis:O
performed:O
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Reporting:O
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there:O
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less:O
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10:B-ReportingUnitPercentageOfFairValueInExcessOfCarryingAmount
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excess:O
fair:O
value:O
over:O
carrying:O
value:O
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two:O
reporting:O
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fnxl170 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | On:O
July:O
4:O
,:O
2018:O
,:O
we:O
entered:O
into:O
agreements:O
to:O
sell:O
our:O
Canadian:O
natural:O
gas:O
gathering:O
and:O
processing:O
businesses:O
to:O
Brookfield:O
Infrastructure:O
Partners:O
L.P.:O
and:O
its:O
institutional:O
partners:O
for:O
a:O
cash:O
purchase:O
price:O
of:O
approximately:O
$:O
4.3:B-Dispos... | On July 4, 2018, we entered into agreements to sell our Canadian natural gas gathering and processing businesses to Brookfield Infrastructure Partners L.P. and its institutional partners for a cash purchase price of approximately $4.3 billion, subject to customary closing adjustments. | [
"O",
"O",
"O",
"O",
"O",
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"O",
"O",
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"O",
"O",
"O",
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"O",
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"O",
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"B-DisposalGroupIncludingDiscontinuedOperationConsiderati... | [
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fnxl171 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | In:O
2018:O
,:O
we:O
recorded:O
$:O
68:B-ImpairmentOfIntangibleAssetsExcludingGoodwill
million:O
of:O
impairment:O
charges:O
for:O
gum:O
,:O
chocolate:O
,:O
biscuits:O
and:O
candy:O
brands:O
of:O
$:O
45:B-ImpairmentOfIntangibleAssetsExcludingGoodwill
million:O
in:O
Europe:O
,:O
$:O
14:B-ImpairmentOfIntangibleAssetsExcl... | In 2018, we recorded $68 million of impairment charges for gum, chocolate, biscuits and candy brands of $45 million in Europe, $14 million in North America and $9 million in AMEA. | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-ImpairmentOfIntangibleAssetsExcludingGoodwill",
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"O",
"O",
"O",
"O",
"O",
"O",
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"O",
"O",
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"O",
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"O",
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"B-ImpairmentOfIntangibleAss... | [
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fnxl172 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | As:O
a:O
result:O
of:O
an:O
impairment:O
test:O
performed:O
during:O
fiscal:O
2020:O
,:O
we:O
recognized:O
an:O
impairment:O
charge:O
of:O
$:O
0.6:B-ImpairmentOfIntangibleAssetsIndefinitelivedExcludingGoodwill
million:O
and:O
$:O
0.5:B-ImpairmentOfIntangibleAssetsIndefinitelivedExcludingGoodwill
million:O
related:O
to:... | As a result of an impairment test performed during fiscal 2020, we recognized an impairment charge of $0.6 million and $0.5 million related to our Micromania and ThinkGeek trade name, respectively. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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fnxl173 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | In:O
connection:O
with:O
the:O
ModSpace:O
acquisition:O
in:O
2018:O
,:O
WillScot:O
issued:O
warrants:O
to:O
purchase:O
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10.0:B-BusinessAcquisitionEquityInterestsIssuedOrIssuableNumberOfSharesIssued
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A:O
common:O
shares:O
(:O
the:O
":O
2018:O
Warrants:O
":O
):O
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former:O
sh... | In connection with the ModSpace acquisition in 2018, WillScot issued warrants to purchase approximately 10.0 million WillScot Class A common shares (the "2018 Warrants") to former shareholders of ModSpace. | [
"O",
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fnxl174 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | We:O
received:O
proceeds:O
of:O
approximately:O
$:O
300:B-SaleOfStockConsiderationReceivedOnTransaction
millionand:O
recognized:O
a:O
pre:O
-:O
tax:O
gain:O
on:O
the:O
sale:O
of:O
$:O
252:O
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,:O
which:O
is:O
included:O
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Other:O
income:O
(:O
expense:O
):O
,:O
net:O
on:O
the:O
Consolidated:O
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of:O... | We received proceeds of approximately $300 millionand recognized a pre-tax gain on the sale of $252 million, which is included in Other income (expense), net on the Consolidated Statement of Operations. | [
"O",
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"O",
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fnxl175 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | International:O
Paper:O
made:O
income:O
tax:O
payments:O
,:O
net:O
of:O
refunds:O
,:O
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$:O
162:B-IncomeTaxesPaidNet
million:O
,:O
$:O
349:B-IncomeTaxesPaidNet
million:O
and:O
$:O
388:B-IncomeTaxesPaidNet
million:O
in:O
2020:O
,:O
2019:O
and:O
2018:O
,:O
respectively:O
.:O | International Paper made income tax payments, net of refunds, of $162 million, $349 million and $388 million in 2020, 2019 and 2018, respectively. | [
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"O",
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fnxl176 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
aggregate:O
intrinsic:O
value:O
of:O
all:O
outstanding:O
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Options:O
is:O
computed:O
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the:O
closing:O
Share:O
price:O
on:O
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,:O
2019:O
of:O
$:O
50.97:B-SaleOfStockPricePerShare
and:O
December31:O
,:O
2018:O
of:O
$:O
41.06:B-SaleOfStockPricePerShare
,:O
as:O
applicable:O
.:O | The aggregate intrinsic value of all outstanding Stock Options is computed using the closing Share price on December31, 2019 of $50.97 and December31, 2018 of $41.06, as applicable. | [
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fnxl177 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Our:O
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-:O
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intangible:O
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primarily:O
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a:O
number:O
of:O
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,:O
which:O
had:O
an:O
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$:O
43.4:B-IndefiniteLivedIntangibleAssetsExcludingGoodwill
billion:O
as:O
of:O
December28:O
,:O
2019:O
.:O | Our indefinite-lived intangible asset balance primarily consists of a number of individual brands, which had an aggregate carrying amount of $43.4 billion as of December28, 2019. | [
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fnxl178 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | In:O
connection:O
with:O
the:O
ASR:O
agreements:O
and:O
other:O
open:O
market:O
transactions:O
,:O
we:O
repurchased:O
139.6:O
million:O
shares:O
of:O
common:O
stock:O
at:O
a:O
total:O
cost:O
of:O
$:O
10.1:B-StockRepurchasedDuringPeriodValue
billion:O
,:O
131.5:O
million:O
shares:O
at:O
a:O
total:O
cost:O
of:O
$:O
7.2:B... | In connection with the ASR agreements and other open market transactions, we repurchased 139.6 million shares of common stock at a total cost of $10.1 billion, 131.5 million shares at a total cost of $7.2 billion, and 37.5 million shares of common stock at a total cost of $2.1 billion for the years ended September29, 2... | [
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fnxl179 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Definite:O
-:O
lived:O
intangible:O
assets:O
acquired:O
during:O
the:O
year:O
ended:O
December31:O
,:O
2019:O
were:O
$:O
35:B-FinitelivedIntangibleAssetsAcquired1
million:O
with:O
a:O
weighted:O
average:O
amortization:O
period:O
of:O
5.5:O
years:O
.:O | Definite-lived intangible assets acquired during the year ended December31, 2019 were $35 million with a weighted average amortization period of 5.5 years. | [
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fnxl180 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | In:O
2019:O
,:O
pension:O
settlement:O
charges:O
of:O
$:O
220:B-DefinedBenefitPlanRecognizedNetGainLossDueToSettlements1
million:O
related:O
to:O
the:O
purchase:O
of:O
a:O
group:O
annuity:O
contract:O
and:O
settlement:O
charges:O
of:O
$:O
53:B-DefinedBenefitPlanRecognizedNetGainLossDueToSettlements1
million:O
related:O... | In 2019, pension settlement charges of $220 million related to the purchase of a group annuity contract and settlement charges of $53 million related to one-time lump sum payments to certain former employees who had vested benefits, recorded in other pension and retiree medical benefits expense/income. | [
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"O",
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"B-DefinedBenefitPlanRecognizedNetGainLossDueToSettlements1",
"O",
"O",
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"O",
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"O",
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"O",
"O",
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"O",
"O",
"B-DefinedBenefitPlanRecognizedNetGainLossDueToSettlements1",
"O",
"O",
"O",
"O",
... | [
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"-",
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fnxl181 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Sirius:O
XM:O
's:O
obligations:O
under:O
the:O
Credit:O
Facility:O
are:O
guaranteed:O
by:O
certain:O
of:O
its:O
material:O
domestic:O
subsidiaries:O
,:O
including:O
Pandora:O
and:O
its:O
subsidiaries:O
,:O
and:O
are:O
secured:O
by:O
a:O
lien:O
on:O
substantially:O
all:O
of:O
Sirius:O
XM:O
's:O
assets:O
and:O
the:O
asse... | Sirius XM's obligations under the Credit Facility are guaranteed by certain of its material domestic subsidiaries, including Pandora and its subsidiaries, and are secured by a lien on substantially all of Sirius XM's assets and the assets of its material domestic subsidiaries.Interest on borrowings is payable on a mont... | [
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fnxl182 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
increase:O
is:O
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related:O
to:O
the:O
recognition:O
of:O
$:O
315.5:O
million:O
of:O
net:O
operating:O
loss:O
deferred:O
tax:O
assets:O
due:O
to:O
changes:O
in:O
the:O
Company:O
’s:O
financing:O
structure:O
,:O
$:O
294.9:B-OperatingLossCarryforwardsValuationAllowance
million:O
of:O
which:O
the:O
Company... | The increase is primarily related to the recognition of $315.5 million of net operating loss deferred tax assets due to changes in the Company’s financing structure, $294.9 million of which the Company does not believe is more likely than not to be utilized. | [
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"O",
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fnxl183 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Compensation:O
expense:O
recognized:O
during:O
each:O
of:O
the:O
years:O
ended:O
January29:O
,:O
2021:O
and:O
January31:O
,:O
2020:O
was:O
$:O
33:B-DeferredCompensationArrangementWithIndividualCompensationExpense
million:O
,:O
and:O
was:O
not:O
material:O
during:O
the:O
year:O
ended:O
February1:O
,:O
2019:O
.:O | Compensation expense recognized during each of the years ended January29, 2021 and January31, 2020 was $33 million, and was not material during the year ended February1, 2019. | [
"O",
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"O",
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fnxl184 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | On:O
February:O
5:O
,:O
2018:O
,:O
we:O
completed:O
an:O
initial:O
public:O
offering:O
resulting:O
in:O
net:O
proceeds:O
of:O
approximately:O
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1.3:B-ProceedsFromIssuanceOfCommonStock
billion:O
.:O | On February 5, 2018, we completed an initial public offering resulting in net proceeds of approximately $1.3 billion. | [
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fnxl185 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Stock:O
-:O
based:O
compensation:O
expensecapitalizedas:O
internally:O
developed:O
software:O
costs:O
was:O
not:O
material:O
for:O
the:O
years:O
ended:O
December:O
31:O
,:O
2018:O
or:O
2020:O
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$:O
61:B-EmployeeServiceShareBasedCompensationAllocationOfRecognizedPeriodCostsCapitalizedAmount
million:O
for:O
the:O
yea... | Stock-based compensation expensecapitalizedas internally developed software costs was not material for the years ended December 31, 2018 or 2020 and $61 million for the year ended December 31, 2019. | [
"O",
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fnxl186 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | In:O
2018:O
,:O
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product:O
technology:O
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not:O
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compete:O
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8.8:B-ImpairmentOfIntangibleAssetsFinitelived
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$:O
1.7:B-ImpairmentOfIntangibleAssetsFinitelived
million:O
,:O
respectively:O
,:O
associated:O
with:O
... | In 2018, we impaired developed product technology and fully impaired covenants not to compete in the amounts of $8.8 million and $1.7 million, respectively, associated with our 2012 acquisition of a cell sorting system from Propel Labs, Inc. | [
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fnxl187 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | At:O
December:O
31:O
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83.0:B-CashAndCashEquivalentsAtCarryingValue
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22.1:B-CashAndCashEquivalentsAtCarryingValue
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of:O
Cash:O
and:O
Cash:O
Equivalents:O
,:O
respectively:O
,:O
was:O
included:O
as:O
a:O
component:O
of:O
Cash:O
,:O
cash:O
equivalents:O
and:O
rest... | At December 31, 2020 and 2019, $83.0 million and $22.1 million of Cash and Cash Equivalents, respectively, was included as a component of Cash, cash equivalents and restricted cash on the Consolidated Balance Sheets. | [
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fnxl188 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | We:O
have:O
incurred:O
significant:O
net:O
losses:O
since:O
inception:O
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had:O
an:O
accumulated:O
deficit:O
of:O
23.1:B-RetainedEarningsAccumulatedDeficit
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as:O
of:O
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31:O
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fnxl189 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | If:O
unused:O
,:O
$:O
42.1:B-DeferredTaxAssetsOperatingLossCarryforwardsSubjectToExpiration
million:O
will:O
expire:O
between:O
2021:O
and:O
2040:O
.:O | If unused, $42.1 million will expire between 2021 and 2040. | [
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"B-DeferredTaxAssetsOperatingLossCarryforwardsSubjectToExpiration",
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] |
fnxl190 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Of:O
the:O
charges:O
for:O
severance:O
,:O
termination:O
benefits:O
and:O
other:O
employee:O
costs:O
,:O
long:O
-:O
lived:O
asset:O
impairments:O
and:O
contract:O
termination:O
and:O
other:O
costs:O
incurred:O
during:O
2018:O
,:O
$:O
18.9:B-RestructuringAndRelatedCostIncurredCost
million:O
relate:O
to:O
SG&A:O
expenses... | Of the charges for severance, termination benefits and other employee costs, long-lived asset impairments and contract termination and other costs incurred during 2018, $18.9 million relate to SG&A expenses of the Calvin Klein North America segment and $19.6 million relate to SG&A expenses of the Calvin Klein Internati... | [
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fnxl191 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Our:O
Consolidated:O
Statements:O
of:O
Comprehensive:O
Income:O
for:O
the:O
year:O
ended:O
December31:O
,:O
2019:O
,:O
includes:O
revenue:O
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$:O
392.3:B-BusinessCombinationProFormaInformationRevenueOfAcquireeSinceAcquisitionDateActual
million:O
and:O
operating:O
income:O
of:O
$:O
86.7:O
million:O
related:O
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the... | Our Consolidated Statements of Comprehensive Income for the year ended December31, 2019, includes revenue of $392.3 million and operating income of $86.7 million related to the post-acquisition operations of HFF. | [
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fnxl192 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | During:O
the:O
year:O
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December31:O
,:O
2019:O
,:O
the:O
Parent:O
Company:O
paid:O
letter:O
of:O
credit:O
fees:O
ranging:O
from:O
1:B-LineOfCreditFacilityUnusedCapacityCommitmentFeePercentage
%:O
to:O
3:B-LineOfCreditFacilityUnusedCapacityCommitmentFeePercentage
%:O
per:O
annum:O
on:O
the:O
outstanding:O
amounts... | During the year ended December31, 2019, the Parent Company paid letter of credit fees ranging from 1% to 3% per annum on the outstanding amounts. | [
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fnxl193 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | As:O
of:O
October31:O
,:O
2019:O
and:O
2018:O
,:O
the:O
combined:O
amount:O
of:O
accrued:O
interest:O
and:O
penalties:O
related:O
to:O
tax:O
positions:O
taken:O
on:O
the:O
Company:O
’s:O
tax:O
returns:O
was:O
approximately:O
$:O
12.8:B-IncomeTaxExaminationPenaltiesAndInterestAccrued
million:O
and:O
$:O
12.6:B-IncomeTax... | As of October31, 2019 and 2018, the combined amount of accrued interest and penalties related to tax positions taken on the Company’s tax returns was approximately $12.8 million and $12.6 million, respectively. | [
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"B-IncomeTaxExaminationPenaltiesAndInterestAccrued",
"O",
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"B-IncomeTaxExaminationPenalti... | [
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"approximately",
"$",... |
fnxl194 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | We:O
recorded:O
impairment:O
expense:O
of:O
$:O
342:B-ImpairmentOfLongLivedAssetsHeldForUse
million:O
for:O
the:O
abandoned:O
assets:O
as:O
we:O
are:O
no:O
longer:O
using:O
these:O
assets:O
and:O
have:O
no:O
expectation:O
to:O
use:O
these:O
assets:O
in:O
the:O
future:O
.:O | We recorded impairment expense of $342 million for the abandoned assets as we are no longer using these assets and have no expectation to use these assets in the future. | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-ImpairmentOfLongLivedAssetsHeldForUse",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | [
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"and",
"have",
"no",
"expectation",
"to",
"use",
"these",
"assets",
"in",
"the",
"fu... |
fnxl195 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
Subsidiary:O
Issuer:O
is:O
a:O
Luxembourg:O
public:O
limited:O
liability:O
company:O
formed:O
in:O
January:O
2012:O
and:O
100:B-VariableInterestEntityOwnershipPercentage
percent:O
-:O
owned:O
subsidiary:O
of:O
the:O
Subsidiary:O
Guarantor:O
.:O | The Subsidiary Issuer is a Luxembourg public limited liability company formed in January 2012 and 100 percent-owned subsidiary of the Subsidiary Guarantor. | [
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
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"O",
"B-VariableInterestEntityOwnershipPercentage",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | [
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"-",
"owned",
"subsidiary",
"of",
"the",
"Subsidiary",
"Guarantor",
"."
] |
fnxl196 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
Company:O
pays:O
a:O
commitment:O
fee:O
(:O
0.175:B-LineOfCreditFacilityUnusedCapacityCommitmentFeePercentage
%:O
as:O
of:O
December27:O
,:O
2020:O
):O
based:O
on:O
the:O
unused:O
portion:O
of:O
the:O
revolving:O
credit:O
facility:O
and:O
interest:O
equal:O
to:O
a:O
Base:O
Rate:O
or:O
Eurocurrency:O
Rate:O
plus:O... | The Company pays a commitment fee (0.175% as of December27, 2020) based on the unused portion of the revolving credit facility and interest equal to a Base Rate or Eurocurrency Rate plus a spread on borrowings under the facility. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LineOfCreditFacilityUnusedCapacityCommitmentFeePercentage",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
... | [
"The",
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"credit",
"facility",
"and",
"interest",
"equal",
"to",
"a",
"Base",
"... |
fnxl197 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
Company:O
may:O
also:O
make:O
discretionary:O
contributions:O
of:O
up:O
to:O
50:B-DefinedContributionPlanEmployerMatchingContributionPercentOfMatch
%:O
of:O
employee:O
contributions:O
.:O | The Company may also make discretionary contributions of up to 50% of employee contributions. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-DefinedContributionPlanEmployerMatchingContributionPercentOfMatch",
"O",
"O",
"O",
"O",
"O"
] | [
"The",
"Company",
"may",
"also",
"make",
"discretionary",
"contributions",
"of",
"up",
"to",
"50",
"%",
"of",
"employee",
"contributions",
"."
] |
fnxl198 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | For:O
the:O
year:O
ended:O
December:O
31:O
,:O
2018:O
,:O
the:O
income:O
tax:O
provision:O
includes:O
nonrecurring:O
charges:O
of:O
$:O
20.8:B-TaxCutsAndJobsActOf2017IncomeTaxExpenseBenefit
million:O
related:O
to:O
the:O
enactment:O
of:O
Tax:O
Reform:O
.:O | For the year ended December 31, 2018, the income tax provision includes nonrecurring charges of $20.8 million related to the enactment of Tax Reform. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TaxCutsAndJobsActOf2017IncomeTaxExpenseBenefit",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | [
"For",
"the",
"year",
"ended",
"December",
"31",
",",
"2018",
",",
"the",
"income",
"tax",
"provision",
"includes",
"nonrecurring",
"charges",
"of",
"$",
"20.8",
"million",
"related",
"to",
"the",
"enactment",
"of",
"Tax",
"Reform",
"."
] |
fnxl199 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
Company:O
has:O
incurred:O
total:O
pretax:O
expenses:O
of:O
$:O
3,929:B-RestructuringAndRelatedCostCostIncurredToDate1
million:O
related:O
to:O
our:O
productivity:O
and:O
reinvestment:O
program:O
since:O
it:O
commenced:O
.:O | The Company has incurred total pretax expenses of $3,929 million related to our productivity and reinvestment program since it commenced. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-RestructuringAndRelatedCostCostIncurredToDate1",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | [
"The",
"Company",
"has",
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"total",
"pretax",
"expenses",
"of",
"$",
"3,929",
"million",
"related",
"to",
"our",
"productivity",
"and",
"reinvestment",
"program",
"since",
"it",
"commenced",
"."
] |
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