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fnxl0 | 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
for:O
all:O
of:O
the:O
Company:O
's:O
deferred:O
compensation:O
plans:O
was:O
$:O
0.6:B-DeferredCompensationArrangementWithIndividualCompensationExpense
million:O
,:O
$:O
1.7:B-DeferredCompensationArrangementWithIndividualCompensationExpense
million:O
and:O
$:O
0.4:B-DeferredCompen... | Compensation expense recognized for all of the Company's deferred compensation plans was $0.6 million, $1.7 million and $0.4 million in 2019, 2018 and 2017, respectively. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-DeferredCompensationArrangementWithIndividualCompensationExpense",
"O",
"O",
"O",
"B-DeferredCompensationArrangementWithIndividualCompensationExpense",
"O",
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"O",
"B-DeferredCompensationArrangeme... | [
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fnxl1 | 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
$:O
10.9:B-BusinessCombinationContingentConsiderationLiability
million:O
fair:O
value:O
of:O
the:O
contingent:O
consideration:O
element:O
as:O
of:O
the:O
acquisition:O
date:O
was:O
estimated:O
by:O
applying:O
the:O
income:O
approach:O
based:O
on:O
a:O
discounted:O
cash:O
flow:O
technique:O
using:O
Monte:O
Carlo:O... | The $10.9 million fair value of the contingent consideration element as of the acquisition date was estimated by applying the income approach based on a discounted cash flow technique using Monte Carlo simulations. | [
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"O",
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"O",
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fnxl2 | 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
2019:O
,:O
we:O
recorded:O
additions:O
to:O
our:O
ROU:O
assets:O
associated:O
with:O
operating:O
leases:O
of:O
$:O
88.5:B-RightOfUseAssetObtainedInExchangeForOperatingLeaseLiability
million:O
.:O | During 2019, we recorded additions to our ROU assets associated with operating leases of $88.5 million. | [
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-RightOfUseAssetObtainedInExchangeForOperatingLeaseLiability",
"O",
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] |
fnxl3 | 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... | Equity:O
in:O
earnings:O
of:O
certain:O
of:O
our:O
joint:O
ventures:O
includes:O
the:O
amortization:O
of:O
the:O
Company:O
’s:O
excess:O
purchase:O
price:O
of:O
$:O
25,251:B-EquityMethodInvestmentDifferenceBetweenCarryingAmountAndUnderlyingEquity
of:O
these:O
equity:O
investments:O
over:O
its:O
original:O
basis:O
.:O | Equity in earnings of certain of our joint ventures includes the amortization of the Company’s excess purchase price of $25,251 of these equity investments over its original basis. | [
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"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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fnxl4 | 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... | Included:O
in:O
other:O
assets:O
are:O
deferred:O
financing:O
costs:O
(:O
net:O
of:O
accumulated:O
amortization:O
):O
,:O
related:O
to:O
the:O
revolver:O
,:O
of:O
$:O
0.6:B-DeferredFinanceCostsNet
million:O
and:O
$:O
0.8:B-DeferredFinanceCostsNet
million:O
as:O
of:O
December30:O
,:O
2020:O
and:O | Included in other assets are deferred financing costs (net of accumulated amortization), related to the revolver, of $0.6 million and $0.8 million as of December30, 2020 and | [
"O",
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"O",
"O",
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"O",
"O",
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"O",
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"O",
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"O",
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fnxl5 | 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
Plan:O
allows:O
employees:O
to:O
contribute:O
up:O
to:O
75:B-DefinedContributionPlanMaximumAnnualContributionsPerEmployeePercent
%:O
of:O
their:O
annual:O
eligible:O
earnings:O
to:O
the:O
Plan:O
on:O
a:O
pretax:O
and:O
after:O
-:O
tax:O
basis:O
,:O
including:O
Roth:O
contributions:O
.:O | The Plan allows employees to contribute up to 75% of their annual eligible earnings to the Plan on a pretax and after-tax basis, including Roth contributions. | [
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... |
fnxl6 | 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... | Deferred:O
debt:O
issuance:O
costs:O
deducted:O
from:O
the:O
carrying:O
amount:O
of:O
the:O
term:O
loan:O
totaled:O
$:O
2.3:B-DeferredFinanceCostsNet
million:O
at:O
October30:O
,:O
2021:O
and:O
$:O
2.9:B-DeferredFinanceCostsNet
million:O
at:O
October31:O
,:O
2020:O
.:O | Deferred debt issuance costs deducted from the carrying amount of the term loan totaled $2.3 million at October30, 2021 and $2.9 million at October31, 2020. | [
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fnxl7 | 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
December31:O
,:O
2020:O
,:O
ROU:O
assets:O
obtained:O
in:O
exchange:O
for:O
new:O
operating:O
lease:O
liabilities:O
was:O
$:O
2:B-RightOfUseAssetObtainedInExchangeForOperatingLeaseLiability
million:O
.:O | For the year ended December31, 2020, ROU assets obtained in exchange for new operating lease liabilities was $2 million. | [
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fnxl8 | 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... | Non:O
-:O
cash:O
leasing:O
activities:O
for:O
the:O
twelve:O
months:O
ended:O
December:O
31:O
,:O
2019:O
,:O
included:O
the:O
addition:O
of:O
$:O
784:B-RightOfUseAssetObtainedInExchangeForOperatingLeaseLiability
million:O
of:O
operating:O
leases:O
.:O | Non-cash leasing activities for the twelve months ended December 31, 2019, included the addition of $784 million of operating leases. | [
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] |
fnxl9 | 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
fiscal:O
year:O
2017:O
,:O
we:O
repurchased:O
and:O
retired:O
2.2:O
million:O
shares:O
of:O
our:O
common:O
stock:O
for:O
$:O
73.9:B-StockRepurchasedAndRetiredDuringPeriodValue
million:O
.:O | In fiscal year 2017, we repurchased and retired 2.2 million shares of our common stock for $73.9 million. | [
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"O",
"O",
"O",
"O",
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"B-StockRepurchasedAndRetiredDuringPeriodValue",
"O",
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] |
fnxl10 | 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... | Accounts:O
receivable:O
,:O
net:O
of:O
allowances:O
for:O
doubtful:O
accounts:O
of:O
$:O
2.9:B-AllowanceForDoubtfulAccountsReceivable
and:O
$:O
2.4:B-AllowanceForDoubtfulAccountsReceivable
,:O
respectively:O | Accounts receivable, net of allowances for doubtful accounts of $2.9 and $2.4, respectively | [
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"O",
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"O",
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"O",
"O",
"B-AllowanceForDoubtfulAccountsReceivable",
"O",
"O",
"B-AllowanceForDoubtfulAccountsReceivable",
"O",
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] | [
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"2.4",
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] |
fnxl11 | 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
trademarks:O
that:O
total:O
$:O
248:B-IndefiniteLivedIntangibleAssetsExcludingGoodwill
million:O
that:O
are:O
indefinite:O
lived:O
and:O
we:O
test:O
annually:O
for:O
impairment:O
on:O
the:O
first:O
day:O
of:O
the:O
fourth:O
quarter:O
.:O | The Company has trademarks that total $248 million that are indefinite lived and we test annually for impairment on the first day of the fourth quarter. | [
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"B-IndefiniteLivedIntangibleAssetsExcludingGoodwill",
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fnxl12 | 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
1)The:O
Company:O
recognized:O
a:O
$:O
267.0:B-ImpairmentOfIntangibleAssetsIndefinitelivedExcludingGoodwill
million:O
non:O
-:O
cash:O
charge:O
related:O
to:O
the:O
impairment:O
of:O
the:O
Stuart:O
Weitzman:O
indefinite:O
-:O
lived:O
brand:O
in:O
fiscal:O
2020:O
.:O | (1)The Company recognized a $267.0 million non-cash charge related to the impairment of the Stuart Weitzman indefinite-lived brand in fiscal 2020. | [
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] |
fnxl13 | 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
September:O
2019:O
,:O
Renewables:O
liquidated:O
a:O
portion:O
of:O
one:O
of:O
its:O
wholesale:O
electricity:O
sales:O
contracts:O
and:O
recorded:O
a:O
gain:O
of:O
$:O
43:B-DerivativeGainLossOnDerivativeNet
million:O
for:O
the:O
year:O
ended:O
December31:O
,:O
2019:O
.:O | During September 2019, Renewables liquidated a portion of one of its wholesale electricity sales contracts and recorded a gain of $43 million for the year ended December31, 2019. | [
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"O",
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"ended",
"December31",... |
fnxl14 | 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
estimated:O
fair:O
value:O
of:O
the:O
Company:O
's:O
senior:O
long:O
-:O
term:O
debt:O
and:O
other:O
debt:O
was:O
$:O
3.9:B-DebtInstrumentFairValue
billion:O
and:O
$:O
3.0:B-DebtInstrumentFairValue
billion:O
at:O
December31:O
,:O
2019:O
and:O
2018:O
,:O
respectively:O
.:O | The estimated fair value of the Company's senior long-term debt and other debt was $3.9 billion and $3.0 billion at December31, 2019 and 2018, respectively. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-DebtInstrumentFairValue",
"O",
"O",
"O",
"B-DebtInstrumentFairValue",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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] | [
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",",
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fnxl15 | 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... | Cash:O
payments:O
for:O
federal:O
,:O
foreign:O
and:O
state:O
income:O
taxes:O
were:O
$:O
74.5:B-IncomeTaxesPaidNet
million:O
for:O
2020:O
,:O
which:O
are:O
net:O
of:O
$:O
8.1:O
million:O
in:O
tax:O
refunds:O
.:O | Cash payments for federal, foreign and state income taxes were $74.5 million for 2020, which are net of $8.1 million in tax refunds. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-IncomeTaxesPaidNet",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
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] | [
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] |
fnxl16 | 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
income:O
tax:O
expense:O
would:O
have:O
been:O
reduced:O
by:O
$:O
456:B-UnrecognizedTaxBenefitsInterestOnIncomeTaxesExpense
and:O
$:O
468:B-UnrecognizedTaxBenefitsInterestOnIncomeTaxesExpense
in:O
2020:O
and:O
2019:O
had:O
these:O
uncertain:O
income:O
tax:O
positions:O
been:O
favorably:O
resolved:O
.:O | Our income tax expense would have been reduced by $456 and $468 in 2020 and 2019 had these uncertain income tax positions been favorably resolved. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-UnrecognizedTaxBenefitsInterestOnIncomeTaxesExpense",
"O",
"O",
"B-UnrecognizedTaxBenefitsInterestOnIncomeTaxesExpense",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
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"income",
"tax",
"positions",
"been",
"favorably",
"resolved",
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] |
fnxl17 | 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
acquisition:O
,:O
the:O
Company:O
has:O
agreed:O
to:O
grant:O
$:O
3.3:B-BusinessCombinationConsiderationTransferredEquityInterestsIssuedAndIssuable
million:O
in:O
restricted:O
stock:O
units:O
that:O
vest:O
over:O
four:O
years:O
.:O | In connection with the acquisition, the Company has agreed to grant $3.3 million in restricted stock units that vest over four years. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-BusinessCombinationConsiderationTransferredEquityInterestsIssuedAndIssuable",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
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"In",
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"that",
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"four",
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] |
fnxl18 | 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
December:O
31:O
,:O
2018:O
,:O
as:O
part:O
of:O
the:O
Company:O
’s:O
then:O
ongoing:O
strategy:O
and:O
portfolio:O
review:O
,:O
Arconic:O
completed:O
the:O
sale:O
of:O
its:O
forgings:O
business:O
in:O
Hungary:O
to:O
Angstrom:O
Automotive:O
Group:O
LLC:O
for:O
$:O
2:B-DisposalGroupIncludingDiscontinuedOperationCons... | On December 31, 2018, as part of the Company’s then ongoing strategy and portfolio review, Arconic completed the sale of its forgings business in Hungary to Angstrom Automotive Group LLC for $2, which resulted in a loss of $43 recorded in Restructuring and other charges in the Statement of Consolidated Operations. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-DisposalGroupIncludingDiscontinuedOperationConsideration",
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fnxl19 | 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
inventory:O
provisions:O
totaling:O
$:O
45,375:B-InventoryWriteDown
,:O
$:O
38,902:B-InventoryWriteDown
and:O
$:O
12,981:B-InventoryWriteDown
for:O
the:O
years:O
ended:O
December:O
31:O
,:O
2020:O
,:O
2019:O
and:O
2018:O
,:O
respectively:O
.:O | The Company recorded inventory provisions totaling $45,375, $38,902 and $12,981 for the years ended December 31, 2020, 2019 and 2018, respectively. | [
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"O",
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"O",
"O",
"B-InventoryWriteDown",
"O",
"O",
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] |
fnxl20 | 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
December29:O
,:O
2019:O
and:O
December30:O
,:O
2018:O
,:O
the:O
aggregate:O
carrying:O
amounts:O
of:O
our:O
non:O
-:O
marketable:O
equity:O
securities:O
without:O
readily:O
determinable:O
fair:O
values:O
,:O
included:O
in:O
other:O
assets:O
,:O
were:O
$:O
220:B-EquitySecuritiesWithoutReadilyDeterminableFairVa... | As of December29, 2019 and December30, 2018, the aggregate carrying amounts of our non-marketable equity securities without readily determinable fair values, included in other assets, were $220 million and $231 million, respectively. | [
"O",
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-EquitySecuritiesWithoutReadilyDeterminableFairValueAmount",
"O",
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fnxl21 | 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... | From:O
January1:O
,:O
2020:O
through:O
February:O
21:O
,:O
2020:O
,:O
the:O
Company:O
borrowed:O
an:O
additional:O
$:O
55.0:B-ProceedsFromLinesOfCredit
million:O
under:O
its:O
revolving:O
credit:O
facility:O
,:O
resulting:O
in:O
$:O
55.0:O
million:O
of:O
outstanding:O
borrowings:O
under:O
the:O
revolving:O
credit:O
fac... | From January1, 2020 through February 21, 2020, the Company borrowed an additional $55.0 million under its revolving credit facility, resulting in $55.0 million of outstanding borrowings under the revolving credit facility as of February 21, 2020. | [
"O",
"O",
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"O",
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"O",
"O",
"O",
"O",
"O",
"O",
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"B-ProceedsFromLinesOfCredit",
"O",
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fnxl22 | 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
December:O
2018:O
,:O
the:O
Company:O
recognized:O
investment:O
impairments:O
of:O
$:O
33:B-EquityMethodInvestmentOtherThanTemporaryImpairment
and:O
$:O
9:O
for:O
other:O
-:O
than:O
-:O
temporary:O
declines:O
in:O
value:O
of:O
an:O
equity:O
method:O
investment:O
and:O
a:O
cost:O
method:O
investment:O
,:O
respectiv... | In December 2018, the Company recognized investment impairments of $33 and $9 for other-than-temporary declines in value of an equity method investment and a cost method investment, respectively. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"B-EquityMethodInvestmentOtherThanTemporaryImpairment",
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fnxl23 | 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... | Cooper:O
's:O
contributions:O
on:O
account:O
of:O
participating:O
employees:O
,:O
were:O
$:O
6.8:B-DeferredCompensationArrangementWithIndividualContributionsByEmployer
million:O
,:O
$:O
6.5:B-DeferredCompensationArrangementWithIndividualContributionsByEmployer
million:O
and:O
$:O
5.9:B-DeferredCompensationArrangementWi... | Cooper's contributions on account of participating employees, were $6.8 million, $6.5 million and $5.9 million for the years ended October31, 2020, 2019 and 2018, respectively. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-DeferredCompensationArrangementWithIndividualContributionsByEmployer",
"O",
"O",
"O",
"B-DeferredCompensationArrangementWithIndividualContributionsByEmployer",
"O",
"O",
"O",
"B-DeferredCompensationArrangementWithIndivid... | [
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"October31",
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"2019",
"and"... |
fnxl24 | 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
2019:O
,:O
the:O
liability:O
was:O
reduced:O
to:O
$:O
0:B-BusinessCombinationContingentConsiderationLiability
as:O
a:O
result:O
of:O
updated:O
revenue:O
forecasts:O
for:O
2019:O
compared:O
to:O
the:O
earn:O
-:O
out:O
revenue:O
target:O
included:O
in:O
the:O
contingent:O
consideration:O
arrangement:O
,:O
result... | During 2019, the liability was reduced to $0 as a result of updated revenue forecasts for 2019 compared to the earn-out revenue target included in the contingent consideration arrangement, resulting in a net gain recorded in other operating expense (income), net. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-BusinessCombinationContingentConsiderationLiability",
"O",
"O",
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"O",
"O",
"O",
"O",
"O",
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fnxl25 | 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
internal:O
-:O
use:O
software:O
development:O
costs:O
was:O
$:O
66.4:B-CapitalizedComputerSoftwareNet
million:O
and:O
$:O
35.6:B-CapitalizedComputerSoftwareNet
million:O
at:O
December31:O
,:O
2020:O
and:O
2019:O
,:O
respectively:O
.:O | The carrying value of internal-use software development costs was $66.4 million and $35.6 million at December31, 2020 and 2019, respectively. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-CapitalizedComputerSoftwareNet",
"O",
"O",
"O",
"B-CapitalizedComputerSoftwareNet",
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"O",
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"35.6",
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"at",
"December31",
",",
"2020",
"and",
"2019",
",",
"respectively",
"."
] |
fnxl26 | 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
consent:O
order:O
required:O
Alabama:O
Power:O
to:O
pay:O
approximately:O
$:O
50,000:B-LitigationSettlementAmountAwardedToOtherParty
to:O
the:O
Alabama:O
Department:O
of:O
Environmental:O
Management:O
in:O
civil:O
penalties:O
and:O
approximately:O
$:O
172,000:B-LitigationSettlementAmountAwardedToOtherParty
to:O
t... | The consent order required Alabama Power to pay approximately $50,000 to the Alabama Department of Environmental Management in civil penalties and approximately $172,000 to the Alabama Department of Conservation and Natural Resources in fish restocking costs. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LitigationSettlementAmountAwardedToOtherParty",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LitigationSettlementAmountAwardedToOtherParty",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
... | [
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fnxl27 | 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
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we:O
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outflows:O
of:O
$:O
296.5:O
million:O
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included:O
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the:O
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of:O
our:O
lease:O
liabilities:O
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we:O
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$:O
237.4:B-RightOfUseAssetObtainedInExchangeForOperatingLeaseLiability
million:O
of:O
ROU:O
assets:O... | During fiscal 2019, we had cash outflows of $296.5 million associated with operating leases included in the measurement of our lease liabilities and we recognized $237.4 million of ROU assets that were obtained in exchange for operating lease obligations. | [
"O",
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"O",
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fnxl28 | 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
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1:B-DefinedContributionPlanMaximumAnnualContributionsPerEmployeePercent
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contribution:O
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2020:O
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eligible:O
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on:O
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day... | We accrued a 1% contribution for 2020 and made contributions of 1% and 2% for 2019 and 2018, respectively, on eligible compensation for employees eligible on the last business day of the respective plan years. | [
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fnxl29 | 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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summarized:O
in:O
the:O
table:O
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as:O
of:O
December31:O
,:O
2019:O
and:O
2018:O
,:O
the:O
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had:O
$:O
55.6:B-EquitySecuritiesWithoutReadilyDeterminableFairValueAmount
million:O
and:O
$:O
45.5:B-EquitySecuritiesWithoutReadilyDeterminableFairValueAmount
million:... | In addition to the investments summarized in the table above, as of December31, 2019 and 2018, the Company had $55.6 million and $45.5 million, respectively, in equity investments that do not have a readily determinable fair value. | [
"O",
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fnxl30 | 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
advertising:O
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marketing:O
expense:O
was:O
$:O
467:B-MarketingAndAdvertisingExpense
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$:O
385:B-MarketingAndAdvertisingExpense
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$:O
338:B-MarketingAndAdvertisingExpense
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the:O
years:O
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December31:O
,:O
2019:O
,:O
2018:O
and:O
2017:O
,:O
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fnxl31 | 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
estimated:O
prior:O
service:O
(:O
credit:O
):O
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pension:O
benefits:O
that:O
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comprehensive:O
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income:O
):O
loss:O
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net:O
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benefit:O
(:O
income:O
):O
cost:O
in:O
2020:O
are:O
expected:O
to:O
be:O
$:O
(:O
42:B-DefinedBenefitPlanExpectedAmor... | The estimated prior service (credit) for pension benefits that will be amortized from Accumulated other comprehensive (income) loss into net periodic benefit (income) cost in 2020 are expected to be $(42) million and $0 million for U.S. and non-U.S. pension plans. | [
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fnxl32 | 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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AWCC:O
borrowed:O
$:O
500:B-ProceedsFromLinesOfCredit
million:O
under:O
the:O
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the:O
proceeds:O
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which:O
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purposes:O
of:O
AWCC:O
and:O
parent:O
company:O
,:O
and:O
to:O
provide:O
additional:O
liquidity:O
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fnxl33 | 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
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30:O
,:O
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sold:O
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of:O
our:O
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,:O
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&:O
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(:O
“:O
TMT:O
”:O
):O
market:O
intelligence:O
assets:O
portfolio:O
to:O
Informa:O
plc:O
for:O
approximately:O
$:O
150:B-DisposalGroupIncludingDiscontinuedOperationConsideration
mil... | During the year ended November 30, 2019, we sold the majority of our Technology, Media & Telecom (“TMT”) market intelligence assets portfolio to Informa plc for approximately $150 million. | [
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"O",
"O",
"O",
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fnxl34 | 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
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259.8:B-BusinessCombinationContingentConsiderationLiability
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and:O
$:O
244.6:B-BusinessCombinationContingentConsiderationLiability
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,:O
respectively:O
.:O | As of December31, 2020 and 2019, the fair value of this contingent consideration obligation was $259.8 million and $244.6 million, respectively. | [
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fnxl35 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Upon:O
adoption:O
of:O
ASU:O
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-:O
13:O
,:O
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an:O
allowance:O
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current:O
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$:O
0.6:B-AllowanceForDoubtfulAccountsReceivable
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related:O
to:O
the:O
receivables:O
from:O
the:O
Exchange:O
and:O
affiliates:O
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fnxl36 | 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
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fnxl37 | 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
2019:O
and:O
2018:O
,:O
Aptiv:O
has:O
recorded:O
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99:B-CapitalizedContractCostNet
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(:O
of:O
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20:B-CapitalizedContractCostNet
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current:O
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$:O
79:B-CapitalizedContractCostNet
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was:O
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... | As of December31, 2019 and 2018, Aptiv has recorded $99 million (of which $20 million was classified within other current assets and $79 million was classified within other long-term assets) and $72 million (of which $8 million was classified within other current assets and $64 million was classified within other long-... | [
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fnxl38 | 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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defined:O
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':O
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":O
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contri... | The Company offers a qualified defined contribution plan for its U.S.-based employees, the Revlon Employees' Savings, Investment and Profit Sharing Plan (as amended, the "Savings Plan"), which allows eligible participants to contribute up to 25%, and highly compensated participants to contribute up to 10%, of eligible ... | [
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fnxl39 | 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... | Unrecognized:O
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24:B-OtherComprehensiveIncomeLossBeforeReclassificationsTax
and:O
$:O
88:B-OtherComprehensiveIncomeLossBeforeReclassificationsTax
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fnxl40 | 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... | Employees:O
that:O
qualify:O
for:O
participation:O
can:O
contribute:O
up:O
to:O
50:B-DefinedContributionPlanMaximumAnnualContributionsPerEmployeePercent
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of:O
their:O
salary:O
,:O
on:O
a:O
pre:O
-:O
tax:O
basis:O
,:O
subject:O
to:O
a:O
maximum:O
contribution:O
limit:O
as:O
determined:O
by:O
the:O
Internal:O
Revenue:... | Employees that qualify for participation can contribute up to 50% of their salary, on a pre-tax basis, subject to a maximum contribution limit as determined by the Internal Revenue Service. | [
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"O",
"O",
"O",
"O",
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fnxl41 | 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
i)Long:O
-:O
term:O
advances:O
from:O
the:O
Federal:O
Home:O
Loan:O
Bank:O
had:O
a:O
weighted:O
-:O
average:O
interest:O
rate:O
of:O
1.15:B-LongtermDebtWeightedAverageInterestRate
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at:O
December31:O
,:O
2020:O
,:O
and:O
3.506:B-LongtermDebtWeightedAverageInterestRate
%:O
at:O
December31:O
,:O
2019:O
.:O | (i)Long-term advances from the Federal Home Loan Bank had a weighted-average interest rate of 1.15% at December31, 2020, and 3.506% at December31, 2019. | [
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"O",
"O",
"O",
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"O",
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fnxl42 | 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... | This:O
amount:O
includes:O
$:O
8:B-DerivativeGainLossOnDerivativeNet
million:O
of:O
realized:O
losses:O
related:O
to:O
crop:O
derivatives:O
which:O
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reported:O
in:O
Net:O
realized:O
gains:O
(:O
losses:O
):O
including:O
OTTI:O
in:O
the:O
Corporate:O
column:O
below:O
.:O | This amount includes $8 million of realized losses related to crop derivatives which are reported in Net realized gains (losses) including OTTI in the Corporate column below. | [
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"B-DerivativeGainLossOnDerivativeNet",
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"O",
"O",
"O",
"O",
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"O",
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fnxl43 | 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... | Additional:O
charges:O
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less:O
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20:B-RestructuringAndRelatedCostExpectedCost1
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are:O
expected:O
to:O
be:O
recorded:O
within:O
the:O
next:O
three:O
years:O
as:O
ACP:O
incurs:O
obligations:O
to:O
exit:O
operations:O
.:O | Additional charges of less than $20 million are expected to be recorded within the next three years as ACP incurs obligations to exit operations. | [
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"B-RestructuringAndRelatedCostExpectedCost1",
"O",
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] |
fnxl44 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
Company:O
purchased:O
30:O
million:O
and:O
57:O
million:O
shares:O
under:O
stock:O
repurchase:O
programs:O
in:O
fiscal:O
2020:O
and:O
2019:O
at:O
a:O
cost:O
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$:O
1.5:B-PaymentsForRepurchaseOfCommonStock
billion:O
and:O
$:O
3.8:B-PaymentsForRepurchaseOfCommonStock
billion:O
,:O
respectively:O
.:O | The Company purchased 30 million and 57 million shares under stock repurchase programs in fiscal 2020 and 2019 at a cost of $1.5 billion and $3.8 billion, respectively. | [
"O",
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"O",
"O",
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"O",
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"O",
"O",
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"O",
"B-PaymentsForRepurchaseOfCommonStock",
"O",
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fnxl45 | 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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10.2:B-DefinedBenefitPlanExpectedAmortizationOfGainLossNextFiscalYear
related:O
to:O
amortization:O
of:O
the:O
net:O
loss:O
... | The accumulated other comprehensive earnings that are expected to be recognized as components of the defined-benefit plan costs during 2020 are $10.2 related to amortization of the net loss. | [
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fnxl46 | 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
trust:O
holding:O
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8:B-VariableInterestEntityOwnershipPercentage
%:O
interest:O
in:O
JEC:O
was:O
a:O
VIE:O
until:O
the:O
expiration:O
of:O
a:O
purchase:O
option:O
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then:O
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during:O
2019:O
until:O
the:O
8:B-VariableInterestEntityOwnershipPercentage
%:O
interest:O
was:O
purchased:... | The trust holding an 8% interest in JEC was a VIE until the expiration of a purchase option in July 2017 and then again during 2019 until the 8% interest was purchased by Evergy Kansas Central in August 2019. | [
"O",
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fnxl47 | 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... | Interest:O
paid:O
by:O
the:O
Company:O
was:O
$:O
916:B-InterestPaidNet
million:O
in:O
fiscal:O
2021:O
,:O
$:O
584:B-InterestPaidNet
million:O
in:O
fiscal:O
2020:O
and:O
$:O
676:B-InterestPaidNet
million:O
in:O
fiscal:O
2019:O
.:O | Interest paid by the Company was $916 million in fiscal 2021, $584 million in fiscal 2020 and $676 million in fiscal 2019. | [
"O",
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"O",
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fnxl48 | 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... | Royalty:O
fees:O
are:O
reported:O
in:O
cost:O
of:O
software:O
licenses:O
and:O
were:O
$:O
29.6:B-CostOfGoodsAndServicesSold
million:O
,:O
$:O
22.4:B-CostOfGoodsAndServicesSold
million:O
and:O
$:O
16.9:B-CostOfGoodsAndServicesSold
million:O
for:O
the:O
years:O
ended:O
December31:O
,:O
2020:O
,:O
2019:O
and:O
2018:O
,:O
... | Royalty fees are reported in cost of software licenses and were $29.6 million, $22.4 million and $16.9 million for the years ended December31, 2020, 2019 and 2018, respectively. | [
"O",
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fnxl49 | 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
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2018:O
,:O
federal:O
income:O
taxes:O
paid:O
totaled:O
$:O
1,790:B-IncomeTaxesPaid
,:O
$:O
1,403:B-IncomeTaxesPaid
and:O
$:O
738:B-IncomeTaxesPaid
,:O
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.:O | During 2020, 2019 and 2018, federal income taxes paid totaled $1,790, $1,403 and $738, respectively. | [
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fnxl50 | 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
and:O
December31:O
,:O
2019:O
,:O
net:O
receivables:O
of:O
$:O
2.68:B-ContractWithCustomerAssetNet
billion:O
and:O
$:O
2.77:B-ContractWithCustomerAssetNet
billion:O
,:O
respectively:O
,:O
are:O
included:O
in:O
accrued:O
interest:O
and:O
fees:O
receivable:O
,:O
representing:O
amounts:O
... | As of December31, 2020 and December31, 2019, net receivables of $2.68 billion and $2.77 billion, respectively, are included in accrued interest and fees receivable, representing amounts billed or currently billable related to revenue from contracts with customers. | [
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fnxl51 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | As:O
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by:O
the:O
joint:O
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our:O
financial:O
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total:O
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$:O
133:O
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of:O
property:O
and:O
equipment:O
recorded:O
at:O
cost:O
basis:O
,:O
net:O
of:O
construction:O
payable:O
... | As reported by the joint venture and consolidated in our financial statements, as of December31,2019, total net assets of $133 million was primarily composed of property and equipment recorded at cost basis, net of construction payable, of which we have a 50% interest. | [
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fnxl52 | 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
pension:O
plans:O
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by:O
$:O
49.6:B-DefinedBenefitPlanFundedStatusOfPlan
million:O
at:O
December31:O
,:O
2019:O
compared:O
to:O
... | Our pension plans were underfunded, in aggregate, by $49.6 million at December31, 2019 compared to ... | [
"O",
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-DefinedBenefitPlanFundedStatusOfPlan",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"B-DefinedBenefitPlanFundedStatusOfPlan",
"O",
"O",
"O",
"O",
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fnxl53 | 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
second:O
call:O
option:O
allows:O
Duke:O
Energy:O
to:O
call:O
the:O
preferred:O
stock:O
,:O
in:O
whole:O
or:O
in:O
part:O
,:O
on:O
the:O
First:O
Call:O
Date:O
or:O
any:O
subsequent:O
Reset:O
Date:O
at:O
a:O
redemption:O
price:O
in:O
cash:O
equal:O
to:O
$:O
1,000:B-PreferredStockLiquidationPreference
per:O
share:O... | The second call option allows Duke Energy to call the preferred stock, in whole or in part, on the First Call Date or any subsequent Reset Date at a redemption price in cash equal to $1,000 per share. | [
"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",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PreferredStockLiquidationPreference",
"O",
... | [
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fnxl54 | 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
business:O
transformation:O
initiatives:O
are:O
substantially:O
complete:O
,:O
and:O
during:O
Fiscal:O
2021:O
,:O
Fiscal:O
2020:O
and:O
Fiscal:O
2019:O
we:O
incurred:O
$:O
87:B-RestructuringAndRelatedCostIncurredCost
,:O
$:O
62:B-RestructuringAndRelatedCostIncurredCost
and:O
$:O
24:B-RestructuringAndRelatedCost... | These business transformation initiatives are substantially complete, and during Fiscal 2021, Fiscal 2020 and Fiscal 2019 we incurred $87, $62 and $24 respectively, of costs principally comprising consulting, advisory, marketing and employee-related costs. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-RestructuringAndRelatedCostIncurredCost",
"O",
"O",
"B-RestructuringAndRelatedCostIncurredCost",
"O",
"O",
"B-RestructuringAndRelatedCostIncurredCost",
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"These",
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"87",
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"$",
"62",
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"24",
"respectively",
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fnxl55 | 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
balance:O
of:O
such:O
amounts:O
as:O
of:O
June27:O
,:O
2020:O
and:O
June29:O
,:O
2019:O
was:O
$:O
28.1:B-ContractWithCustomerLiabilityCurrent
million:O
and:O
$:O
27.5:B-ContractWithCustomerLiabilityCurrent
million:O
,:O
respectively:O
,:O
which:O
were:O
primarily:O
recorded:O
within:O
Accrued:O
liabilities:O
on:O... | The balance of such amounts as of June27, 2020 and June29, 2019 was $28.1 million and $27.5 million, respectively, which were primarily recorded within Accrued liabilities on the Company's Consolidated Balance Sheets and are generally expected to be recognized as revenue within a year. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ContractWithCustomerLiabilityCurrent",
"O",
"O",
"O",
"B-ContractWithCustomerLiabilityCurrent",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",... | [
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fnxl56 | 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
also:O
sold:O
,:O
to:O
the:O
same:O
institutional:O
investors:O
,:O
warrants:O
to:O
purchase:O
up:O
to:O
688,360:O
shares:O
of:O
common:O
stock:O
at:O
an:O
exercise:O
price:O
of:O
$:O
3.37:B-ClassOfWarrantOrRightExercisePriceOfWarrantsOrRights1
per:O
share:O
in:O
a:O
concurrent:O
private:O
placement:O
for:O
a:O
pu... | We also sold, to the same institutional investors, warrants to purchase up to 688,360 shares of common stock at an exercise price of $3.37 per share in a concurrent private placement for a purchase price of $0.6250 per warrant. | [
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"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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"O",
"O",
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"O",
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fnxl57 | 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
2019:O
and:O
2018:O
,:O
our:O
cash:O
and:O
cash:O
equivalents:O
balance:O
,:O
including:O
restricted:O
cash:O
,:O
was:O
$:O
193,555:B-CashAndCashEquivalentsAtCarryingValue
and:O
$:O
165,485:B-CashAndCashEquivalentsAtCarryingValue
,:O
respectively:O
.:O | As of December31, 2019 and 2018, our cash and cash equivalents balance, including restricted cash, was $193,555 and $165,485, respectively. | [
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"B-CashAndCashEquivalentsAtCarryingValue",
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fnxl58 | 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... | Other:O
intangibles:O
,:O
net:O
of:O
amortization:O
of:O
$:O
403,347:B-FiniteLivedIntangibleAssetsAccumulatedAmortization
and:O
$:O
333,507:B-FiniteLivedIntangibleAssetsAccumulatedAmortization | Other intangibles, net of amortization of $403,347 and $333,507 | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-FiniteLivedIntangibleAssetsAccumulatedAmortization",
"O",
"O",
"B-FiniteLivedIntangibleAssetsAccumulatedAmortization"
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"$",
"403,347",
"and",
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"333,507"
] |
fnxl59 | 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
allowance:O
for:O
doubtful:O
accounts:O
on:O
trade:O
accounts:O
receivable:O
was:O
$:O
0.7:B-AllowanceForDoubtfulAccountsReceivable
million:O
as:O
of:O
September30:O
,:O
2019:O
,:O
$:O
0.6:B-AllowanceForDoubtfulAccountsReceivable
million:O
as:O
of:O
September30:O
,:O
2018:O
,:O
$:O
1.1:B-AllowanceForDoubtfulAccou... | Our allowance for doubtful accounts on trade accounts receivable was $0.7 million as of September30, 2019, $0.6 million as of September30, 2018, $1.1 million as of September30, 2017 and $1.0 million as of September30, 2016. | [
"O",
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
"B-AllowanceForDoubtfulAccountsReceivable",
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"O",
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"O",
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"O",
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"B-AllowanceForDoubtfulAccountsRece... | [
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fnxl60 | 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
held:O
equity:O
securities:O
without:O
readily:O
determinable:O
fair:O
values:O
totaling:O
$:O
23.7:B-EquitySecuritiesWithoutReadilyDeterminableFairValueAmount
million:O
and:O
$:O
19.1:B-EquitySecuritiesWithoutReadilyDeterminableFairValueAmount
million:O
as:O
of:O
December31:O
,:O
2020:O
and:O
2019:O
,:... | The Company held equity securities without readily determinable fair values totaling $23.7 million and $19.1 million as of December31, 2020 and 2019, respectively, which were measured using the measurement alternative at cost less impairment and adjusted for observable price changes. | [
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fnxl61 | 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
addition:O
,:O
the:O
plan:O
allows:O
for:O
voluntary:O
contributions:O
by:O
U.K.:O
employees:O
,:O
which:O
we:O
match:O
100:B-DefinedContributionPlanEmployerMatchingContributionPercent
%:O
,:O
up:O
to:O
a:O
maximum:O
of:O
an:O
additional:O
5.0:O
%:O
of:O
eligible:O
compensation:O
.:O | In addition, the plan allows for voluntary contributions by U.K. employees, which we match 100%, up to a maximum of an additional 5.0% of eligible compensation. | [
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fnxl62 | 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... | Receivables:O
,:O
net:O
of:O
reserves:O
of:O
$:O
6,031:B-AllowanceForDoubtfulAccountsReceivable
and:O
$:O
2,262:B-AllowanceForDoubtfulAccountsReceivable
,:O
respectively:O | Receivables, net of reserves of $6,031 and $2,262, respectively | [
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"O",
"O",
"O",
"O",
"O",
"O",
"B-AllowanceForDoubtfulAccountsReceivable",
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"O",
"B-AllowanceForDoubtfulAccountsReceivable",
"O",
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fnxl63 | 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
fiscal:O
years:O
2019:O
and:O
2018:O
,:O
we:O
repurchased:O
and:O
retired:O
0.7:O
million:O
shares:O
of:O
our:O
common:O
stock:O
for:O
$:O
25.0:B-StockRepurchasedAndRetiredDuringPeriodValue
million:O
and:O
2.9:O
million:O
shares:O
of:O
our:O
common:O
stock:O
for:O
$:O
120.0:B-StockRepurchasedAndRetiredDuringPeriod... | In fiscal years 2019 and 2018, we repurchased and retired 0.7 million shares of our common stock for $25.0 million and 2.9 million shares of our common stock for $120.0 million, respectively, under this current authorization. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-StockRepurchasedAndRetiredDuringPeriodValue",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"B-StockRepurchasedAndRetiredDuringPeriodValue",... | [
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fnxl64 | 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
years:O
ended:O
December31:O
,:O
2019:O
,:O
2018:O
,:O
and:O
2017:O
,:O
amounts:O
expensed:O
for:O
contributions:O
to:O
the:O
trust:O
were:O
$:O
2.1:B-DeferredCompensationArrangementWithIndividualCompensationExpense
million:O
,:O
$:O
2.6:B-DeferredCompensationArrangementWithIndividualCompensationExpense
mil... | For the years ended December31, 2019, 2018, and 2017, amounts expensed for contributions to the trust were $2.1 million, $2.6 million, and $3.3 million, respectively, which were included in General and administrative expenses in the consolidated financial statements. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-DeferredCompensationArrangementWithIndividualCompensationExpense",
"O",
"O",
"O",
"B-DeferredCompensationArrangementWithIndividualCompensationExpense",... | [
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"and",
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"3.3",
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fnxl65 | 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... | Depreciation:O
and:O
amortization:O
expense:O
related:O
to:O
premises:O
and:O
equipment:O
for:O
the:O
years:O
ended:O
December31:O
,:O
2018:O
,:O
December31:O
,:O
2017:O
,:O
and:O
December31:O
,:O
2016:O
was:O
$:O
129:B-DepreciationDepletionAndAmortization
million:O
,:O
$:O
138:B-DepreciationDepletionAndAmortization
mi... | Depreciation and amortization expense related to premises and equipment for the years ended December31, 2018, December31, 2017, and December31, 2016 was $129 million, $138 million, and $123 million, respectively. | [
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fnxl66 | 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... | Germany:O
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97:B-DefinedBenefitPlanFundedStatusOfPlan
million:O
of:O
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Europe:O
’s:O
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fnxl67 | 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
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tax:O
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(:O
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of:O
refunds:O
):O
of:O
approximately:O
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124:B-IncomeTaxesPaidNet
million:O
,:O
$:O
31:B-IncomeTaxesPaidNet
million:O
and:O
$:O
210:B-IncomeTaxesPaidNet
million:O
for:O
2020:O
,:O
2019:O
,:O
and:O
2018:O
,:O
respectively:O
.:O | We made income tax payments (net of refunds) of approximately $124 million, $31 million and $210 million for 2020, 2019, and 2018, respectively. | [
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fnxl68 | 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... | purchase:O
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4.10:B-SaleOfStockPricePerShare
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share:O
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the:O
price:O
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the:O
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fnxl69 | 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
Global:O
Commercial:O
Bank:O
segment:O
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and:O
amortization:O
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20.4:B-DepreciationDepletionAndAmortization
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,:O
$:O
21.8:B-DepreciationDepletionAndAmortization
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and:O
$:O
25.3:B-DepreciationDepletionAndAmortization
million:O
for:O
2019:O
,:O
2018:O
and:O
... | The Global Commercial Bank segment includes direct depreciation and amortization of $20.4 million, $21.8 million and $25.3 million for 2019, 2018 and 2017, respectively. | [
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fnxl70 | 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
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81:B-ImpairmentOfLongLivedAssetsHeldForUse
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Secret:O
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store:O
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fnxl71 | 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
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100.0:B-StockRepurchasedDuringPeriodValue
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2019:O
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0.5:O
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f... | We repurchased 0.4 million shares for $100.0 million during the first quarter of 2019, 0.6 million shares for $150.0 million during the second quarter of 2019 and 0.5 million shares for $150.0 million during the third quarter of 2019, respectively, from open market transactions. | [
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fnxl72 | 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
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2,198:B-FinitelivedIntangibleAssetsAcquired1
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computer:O
software:O
of:O
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701:B-FinitelivedIntangibleAssetsAcquired1
,:O
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other:O
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of:O
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191:B-FinitelivedIntangibleAsset... | Identifiable intangible assets from this acquisition consist of customer relationships of $2,198, computer software of $701, and other intangible assets of $191. | [
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fnxl73 | 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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25.00:B-PreferredStockLiquidationPreference
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share:O
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,:O
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.:O | the table above or within 120 days after the occurrence of a change in control at a redemption price equal to the $25.00 per share liquidation preference, plus any accumulated and unpaid dividends. | [
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fnxl74 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
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$:O
40.3:B-RetainedEarningsAccumulatedDeficit
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3.4:B-RetainedEarningsAccumulatedDeficit
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in:O... | The cumulative effect to the Company's retained earnings at January 1, 2018 was an increase of $40.3 million, of which $3.4 million was related to the noncontrolling interest in ANGI; the adjustment to retained earnings was principally related to the Company’s ANGI segment and the Desktop business. | [
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fnxl75 | 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
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62:B-Goo... | During the fiscal year ended August31, 2020, the Company acquired the remaining two of three Rite Aid distribution centers including related inventory for cash consideration of $91 million resulting in an increase to goodwill of $62 million. | [
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fnxl76 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Other:O
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517,574:B-FiniteLivedIntangibleAssetsAccumulatedAmortization
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$:O
437,886:B-FiniteLivedIntangibleAssetsAccumulatedAmortization | Other intangible assets, net of accumulated amortization of $517,574 and $437,886 | [
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fnxl77 | 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... | Internet:O
Brands:O
approximately:O
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31.0:B-RelatedPartyTransactionAmountsOfTransaction
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the:O
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of:O
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fnxl78 | 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... | •2020:O
and:O
2019:O
both:O
include:O
$:O
132:B-IndefiniteLivedIntangibleAssetsExcludingGoodwill
million:O
within:O
our:O
Indices:O
segment:O
for:O
the:O
balance:O
of:O
the:O
IP:O
rights:O
in:O
a:O
family:O
of:O
indices:O
derived:O
from:O
the:O
S&P:O
500:O
,:O
solidifying:O
Indices:O
IP:O
in:O
and:O
to:O
the:O
S&P:O
50... | •2020 and 2019 both include $132 million within our Indices segment for the balance of the IP rights in a family of indices derived from the S&P 500, solidifying Indices IP in and to the S&P 500 index family. | [
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fnxl79 | 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
charges:O
included:O
$:O
353:B-RestructuringAndRelatedCostCostIncurredToDate1
million:O
related:O
to:O
lease:O
obligations:O
and:O
other:O
real:O
estate:O
costs:O
,:O
$:O
252:B-RestructuringAndRelatedCostCostIncurredToDate1
million:O
in:O
asset:O
impairments:O
,:O
$:O
513:B-RestructuringAndRelatedCostCostIncurr... | These charges included $353 million related to lease obligations and other real estate costs, $252 million in asset impairments, $513 million in employee severance and business transition costs and $163 million of information technology transformation and other exit costs. | [
"O",
"O",
"O",
"O",
"B-RestructuringAndRelatedCostCostIncurredToDate1",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-RestructuringAndRelatedCostCostIncurredToDate1",
"O",
"O",
"O",
"O",
"O",
"O",
"B-RestructuringAndRelatedCostCostIncurredToDate1",
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fnxl80 | 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
2018:O
,:O
2017:O
and:O
2016:O
,:O
a:O
net:O
benefit:O
of:O
$:O
2:B-IncomeTaxExaminationPenaltiesAndInterestExpense
million:O
,:O
a:O
net:O
expense:O
of:O
$:O
5:B-IncomeTaxExaminationPenaltiesAndInterestExpense
million:O
and:O
a:O
net:O
benefit:O
of:O
$:O
4:B-IncomeTaxExaminationPenaltiesAndInterestExpense
mil... | During 2018, 2017 and 2016, a net benefit of $2 million, a net expense of $5 million and a net benefit of $4 million, respectively, for interest and penalties was recognized in our Consolidated Statements of Income as components of its Income tax provision. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-IncomeTaxExaminationPenaltiesAndInterestExpense",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-IncomeTaxExaminationPenaltiesAndInterestExpense",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-IncomeTaxExaminationP... | [
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fnxl81 | 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
this:O
loan:O
was:O
contractually:O
required:O
to:O
be:O
repaid:O
with:O
any:O
proceeds:O
received:O
from:O
the:O
sale:O
of:O
PlusServer:O
,:O
interest:O
expense:O
attributable:O
to:O
the:O
loan:O
of:O
$:O
12.4:B-InterestExpenseDebt
million:O
in:O
2017:O
was:O
recorded:O
within:O
discontinued:O
operations:O
.:O | As this loan was contractually required to be repaid with any proceeds received from the sale of PlusServer, interest expense attributable to the loan of $12.4 million in 2017 was recorded within discontinued operations. | [
"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",
"B-InterestExpenseDebt",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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fnxl82 | 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... | Undrawn:O
balances:O
available:O
under:O
the:O
revolving:O
credit:O
facility:O
are:O
subject:O
to:O
commitment:O
fees:O
at:O
the:O
applicable:O
rate:O
ranging:O
from:O
0.07:B-LineOfCreditFacilityUnusedCapacityCommitmentFeePercentage
%:O
to:O
0.20:B-LineOfCreditFacilityUnusedCapacityCommitmentFeePercentage
%:O
.:O | Undrawn balances available under the revolving credit facility are subject to commitment fees at the applicable rate ranging from 0.07% to 0.20%. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LineOfCreditFacilityUnusedCapacityCommitmentFeePercentage",
"O",
"O",
"B-LineOfCreditFacilityUnusedCapacityCommitmentFeePercentage",
"O",
"O"
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"."
] |
fnxl83 | 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
fair:O
value:O
as:O
of:O
the:O
respective:O
vesting:O
dates:O
of:O
RSUs:O
that:O
vested:O
during:O
the:O
year:O
was:O
$:O
39.4:B-SharebasedCompensationArrangementBySharebasedPaymentAwardEquityInstrumentsOtherThanOptionsAggregateIntrinsicValueVested
million:O
,:O
$:O
36.6:B-SharebasedCompensationArrangementByShare... | The fair value as of the respective vesting dates of RSUs that vested during the year was $39.4 million, $36.6 million, and $14.5 million for the years ended December 31, 2019, 2018, and 2017, respectively. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-SharebasedCompensationArrangementBySharebasedPaymentAwardEquityInstrumentsOtherThanOptionsAggregateIntrinsicValueVested",
"O",
"O",
"O",
"B-SharebasedCompensationArrangementByShar... | [
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fnxl84 | 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
2017:O
,:O
other:O
costs:O
included:O
a:O
charge:O
of:O
$:O
19:B-LitigationSettlementExpense
due:O
to:O
the:O
settlement:O
of:O
a:O
litigation:O
matter:O
related:O
to:O
Mivisa:O
that:O
arose:O
prior:O
to:O
its:O
acquisition:O
by:O
the:O
Company:O
in:O
2014:O
.:O | In 2017, other costs included a charge of $19 due to the settlement of a litigation matter related to Mivisa that arose prior to its acquisition by the Company in 2014. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LitigationSettlementExpense",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"Company",
... |
fnxl85 | 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
years:O
ended:O
December:O
31:B-RightOfUseAssetObtainedInExchangeForOperatingLeaseLiability
,:O
2020:O
and:O
2019:O
,:O
cash:O
paid:O
for:O
operating:O
leases:O
included:O
in:O
operating:O
cash:O
flows:O
was:O
$:O
52:O
million:O
and:O
$:O
48:O
million:O
,:O
respectively:O
.:O | During the years ended December 31, 2020 and 2019, cash paid for operating leases included in operating cash flows was $52 million and $48 million, respectively. | [
"O",
"O",
"O",
"O",
"O",
"B-RightOfUseAssetObtainedInExchangeForOperatingLeaseLiability",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"52",
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"and",
"$",
"48",
"million",
",",
"respectively... |
fnxl86 | 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
part:O
of:O
the:O
agreement:O
to:O
acquire:O
a:O
subsidiary:O
by:O
the:O
ETG:O
in:O
fiscal:O
2017:O
,:O
the:O
Company:O
may:O
be:O
obligated:O
to:O
pay:O
contingent:O
consideration:O
of:O
$:O
20.0:B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh
million:O
in:O
fiscal:O
2023:O
should... | As part of the agreement to acquire a subsidiary by the ETG in fiscal 2017, the Company may be obligated to pay contingent consideration of $20.0 million in fiscal 2023 should the acquired entity meet a certain earnings objective during the first six years following the acquisition. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
"O",
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"O",
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"O",
"O",
"O",
"O",
"O",
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"B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh",
"O",
"O",
"O",
"O",
"O",
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... | [
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fnxl87 | 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
dollar:O
expense:O
derived:O
from:O
these:O
tax:O
holidays:O
approximated:O
$:O
0.1:B-IncomeTaxHolidayAggregateDollarAmount
million:O
in:O
fiscal:O
2019:O
.:O | The aggregate dollar expense derived from these tax holidays approximated $0.1 million in fiscal 2019. | [
"O",
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"O",
"O",
"O",
"O",
"O",
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"O",
"B-IncomeTaxHolidayAggregateDollarAmount",
"O",
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"O",
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"."
] |
fnxl88 | 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... | KMGP:O
,:O
$:O
1,000:B-PreferredStockLiquidationPreference
Liquidation:O
Value:O
Series:O
A:O
Fixed:O
-:O
to:O
-:O
Floating:O
Rate:O
Term:O
Cumulative:O
Preferred:O
Stock:O
,:O
due:O
August:O
2057(i:O
):O | KMGP, $1,000 Liquidation Value Series A Fixed-to-Floating Rate Term Cumulative Preferred Stock, due August 2057(i) | [
"O",
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"O",
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] |
fnxl89 | 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
October:O
31:O
,:O
2019:O
,:O
the:O
estimated:O
fair:O
value:O
of:O
the:O
contingent:O
consideration:O
was:O
$:O
1.1:B-BusinessCombinationContingentConsiderationLiability
million:O
.:O | As of October 31, 2019, the estimated fair value of the contingent consideration was $1.1 million. | [
"O",
"O",
"O",
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-BusinessCombinationContingentConsiderationLiability",
"O",
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] |
fnxl90 | 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
fiscal:O
2020:O
,:O
the:O
Company:O
recorded:O
a:O
goodwill:O
impairment:O
charge:O
of:O
$:O
210.7:O
million:O
related:O
to:O
the:O
Stuart:O
Weitzman:O
reporting:O
unit:O
and:O
an:O
impairment:O
charge:O
of:O
$:O
267.0:B-ImpairmentOfIntangibleAssetsIndefinitelivedExcludingGoodwill
million:O
related:O
to:O
the:O
St... | In fiscal 2020, the Company recorded a goodwill impairment charge of $210.7 million related to the Stuart Weitzman reporting unit and an impairment charge of $267.0 million related to the Stuart Weitzman indefinite-lived brand. | [
"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",
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"B-ImpairmentOfIntangibleAssetsIndefinitelivedExcludingGoodwill",
"O",
"O",
"O",
"O",
"O",
"O",
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fnxl91 | 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
b:O
):O
-:O
Equity:O
-:O
method:O
goodwill:O
(:O
Note:O
A:O
):O
was:O
$:O
16.5million:O
and:O
$:O
38.8:B-EquityMethodInvestmentDifferenceBetweenCarryingAmountAndUnderlyingEquity
million:O
at:O
December:O
31:O
,:O
2020:O
and:O
2019:O
,:O
respectively:O
.:O | (b) - Equity-method goodwill (Note A) was $16.5million and $38.8 million at December 31, 2020 and 2019, respectively. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-EquityMethodInvestmentDifferenceBetweenCarryingAmountAndUnderlyingEquity",
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"O",
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] |
fnxl92 | 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... | Accounts:O
receivable:O
,:O
net:O
of:O
allowance:O
of:O
$:O
93:B-AllowanceForDoubtfulAccountsReceivable
and:O
$:O
290:B-AllowanceForDoubtfulAccountsReceivable
,:O
respectively:O | Accounts receivable, net of allowance of $93 and $290, respectively | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-AllowanceForDoubtfulAccountsReceivable",
"O",
"O",
"B-AllowanceForDoubtfulAccountsReceivable",
"O",
"O"
] | [
"Accounts",
"receivable",
",",
"net",
"of",
"allowance",
"of",
"$",
"93",
"and",
"$",
"290",
",",
"respectively"
] |
fnxl93 | 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
years:O
ended:O
January31:O
,:O
2021:O
,:O
2020:O
and:O
2019:O
,:O
the:O
Company:O
recognized:O
$:O
86.5:B-InterestExpenseDebt
million:O
,:O
$:O
35.9:B-InterestExpenseDebt
million:O
and:O
$:O
11.6:B-InterestExpenseDebt
million:O
,:O
respectively:O
,:O
of:O
interest:O
expense:O
related:O
to:O
the:O
amorti... | During the years ended January31, 2021, 2020 and 2019, the Company recognized $86.5 million, $35.9 million and $11.6 million, respectively, of interest expense related to the amortization of debt discount and issuance costs, and $3.8 million, $1.5 million, and $900,000 respectively, of coupon interest expense. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-InterestExpenseDebt",
"O",
"O",
"O",
"B-InterestExpenseDebt",
"O",
"O",
"O",
"B-InterestExpenseDebt",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",... | [
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"January31",
",",
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"11.6",
"million",
",",
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",",
"of",
"interest",
... |
fnxl94 | 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
the:O
potential:O
resolution:O
of:O
certain:O
federal:O
and:O
state:O
income:O
tax:O
positions:O
,:O
it:O
is:O
reasonably:O
possible:O
that:O
the:O
UTBs:O
could:O
decrease:O
as:O
much:O
as:O
$:O
4:B-DecreaseInUnrecognizedTaxBenefitsIsReasonablyPossible
million:O
during:O
the:O
next:O
twelve:O
mon... | As a result of the potential resolution of certain federal and state income tax positions, it is reasonably possible that the UTBs could decrease as much as $4 million during the next twelve months, since resolved items will be removed from the balance whether their resolution results in payment or recognition in earni... | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-DecreaseInUnrecognizedTaxBenefitsIsReasonablyPossible",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"... | [
"As",
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"and",
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",",
"it",
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"possible",
"that",
"the",
"UTBs",
"could",
"decrease",
"as",
"much",
"as",
"$",
"4",
"mil... |
fnxl95 | 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
we:O
made:O
contributions:O
for:O
each:O
qualifying:O
employee:O
of:O
up:O
to:O
3.5:B-DefinedContributionPlanEmployerMatchingContributionPercent
%:O
of:O
his:O
or:O
her:O
salary:O
,:O
subject:O
to:O
certain:O
limitations:O
.:O | In 2019, we made contributions for each qualifying employee of up to 3.5% of his or her salary, subject to certain limitations. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-DefinedContributionPlanEmployerMatchingContributionPercent",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | [
"In",
"2019",
",",
"we",
"made",
"contributions",
"for",
"each",
"qualifying",
"employee",
"of",
"up",
"to",
"3.5",
"%",
"of",
"his",
"or",
"her",
"salary",
",",
"subject",
"to",
"certain",
"limitations",
"."
] |
fnxl96 | 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
third:O
quarter:O
of:O
2018:O
,:O
we:O
recognized:O
an:O
impairment:O
charge:O
of:O
$:O
290:B-EquityMethodInvestmentOtherThanTemporaryImpairment
million:O
related:O
to:O
IMFT:O
.:O | During the third quarter of 2018, we recognized an impairment charge of $290 million related to IMFT. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-EquityMethodInvestmentOtherThanTemporaryImpairment",
"O",
"O",
"O",
"O",
"O"
] | [
"During",
"the",
"third",
"quarter",
"of",
"2018",
",",
"we",
"recognized",
"an",
"impairment",
"charge",
"of",
"$",
"290",
"million",
"related",
"to",
"IMFT",
"."
] |
fnxl97 | 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... | Cash:O
and:O
cash:O
equivalents:O
held:O
in:O
non:O
-:O
domestic:O
accounts:O
were:O
$:O
6,995:B-CashAndCashEquivalentsAtCarryingValue
and:O
$:O
13,660:B-CashAndCashEquivalentsAtCarryingValue
as:O
of:O
December31:O
,:O
2020:O
and:O
2019:O
,:O
respectively:O
.:O | Cash and cash equivalents held in non-domestic accounts were $6,995 and $13,660 as of December31, 2020 and 2019, respectively. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-CashAndCashEquivalentsAtCarryingValue",
"O",
"O",
"B-CashAndCashEquivalentsAtCarryingValue",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | [
"Cash",
"and",
"cash",
"equivalents",
"held",
"in",
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"-",
"domestic",
"accounts",
"were",
"$",
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"and",
"$",
"13,660",
"as",
"of",
"December31",
",",
"2020",
"and",
"2019",
",",
"respectively",
"."
] |
fnxl98 | 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
actions:O
currently:O
contemplated:O
under:O
the:O
Restructuring:O
Program:O
are:O
expected:O
to:O
be:O
substantially:O
completed:O
by:O
the:O
end:O
of:O
2023:O
,:O
with:O
the:O
cumulative:O
pretax:O
costs:O
to:O
be:O
incurred:O
by:O
the:O
Company:O
to:O
implement:O
the:O
program:O
now:O
estimated:O
to:O
be:O
app... | The actions currently contemplated under the Restructuring Program are expected to be substantially completed by the end of 2023, with the cumulative pretax costs to be incurred by the Company to implement the program now estimated to be approximately $2.5 billion. | [
"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",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-RestructuringAndRelatedCos... | [
"The",
"actions",
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"Restructuring",
"Program",
"are",
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"2023",
",",
"with",
"the",
"cumulative",
"pretax",
"costs",
"to",
"be",
"incurred",... |
fnxl99 | 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... | Property:O
and:O
equipment:O
,:O
net:O
included:O
non:O
-:O
cash:O
expenditures:O
of:O
$:O
22:B-CapitalExpendituresIncurredButNotYetPaid
million:O
,:O
$:O
20:B-CapitalExpendituresIncurredButNotYetPaid
million:O
and:O
$:O
35:B-CapitalExpendituresIncurredButNotYetPaid
million:O
in:O
2020:O
,:O
2019:O
,:O
and:O
2018:O
,:O... | Property and equipment, net included non-cash expenditures of $22 million, $20 million and $35 million in 2020, 2019, and 2018, respectively, which were excluded from the consolidated statements of cash flows. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-CapitalExpendituresIncurredButNotYetPaid",
"O",
"O",
"O",
"B-CapitalExpendituresIncurredButNotYetPaid",
"O",
"O",
"O",
"B-CapitalExpendituresIncurredButNotYetPaid",
"O",
"O",
"O",
"O",
"O",
"O",
"O",... | [
"Property",
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"equipment",
",",
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"-",
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"22",
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",",
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"35",
"million",
"in",
"2020",
",",
"2019",
",",
"and",
"2018",
",",
"respectively",
",",
"wh... |
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