id stringlengths 5 7 | query stringlengths 5.37k 6.98k | answer stringlengths 89 2.4k | text stringlengths 57 1.67k | label sequence | token sequence |
|---|---|---|---|---|---|
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. | [
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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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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
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.:O | During 2019, we recorded additions to our ROU assets associated with operating leases of $88.5 million. | [
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"B-RightOfUseAssetObtainedInExchangeForOperatingLeaseLiability",
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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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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
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,:O
related:O
to:O
the:O
revolver:O
,:O
of:O
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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 $0.8 million as of December30, 2020 and | [
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fnxl5 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
Plan:O
allows:O
employees:O
to:O
contribute:O
up:O
to:O
75:B-DefinedContributionPlanMaximumAnnualContributionsPerEmployeePercent
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of:O
their:O
annual:O
eligible:O
earnings:O
to:O
the:O
Plan:O
on:O
a:O
pretax:O
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after:O
-:O
tax:O
basis:O
,:O
including:O
Roth:O
contributions:O
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fnxl6 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Deferred:O
debt:O
issuance:O
costs:O
deducted:O
from:O
the:O
carrying:O
amount:O
of:O
the:O
term:O
loan:O
totaled:O
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2.3:B-DeferredFinanceCostsNet
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at:O
October30:O
,:O
2021:O
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$: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
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.: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
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activities:O
for:O
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twelve:O
months:O
ended:O
December:O
31:O
,:O
2019:O
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addition:O
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784:B-RightOfUseAssetObtainedInExchangeForOperatingLeaseLiability
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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
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retired:O
2.2:O
million:O
shares:O
of:O
our:O
common:O
stock:O
for:O
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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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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
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for:O
doubtful:O
accounts:O
of:O
$:O
2.9:B-AllowanceForDoubtfulAccountsReceivable
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$: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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"B-AllowanceForDoubtfulAccountsReceivable",
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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
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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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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
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.: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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"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
2019:O
,:O
we:O
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outflows:O
of:O
$:O
296.5:O
million:O
associated:O
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operating:O
leases:O
included:O
in:O
the:O
measurement:O
of:O
our:O
lease:O
liabilities:O
and:O
we:O
recognized:O
$: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",
"O",
"O",
"O",
"O",
"O",
"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
accrued:O
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1:B-DefinedContributionPlanMaximumAnnualContributionsPerEmployeePercent
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contribution:O
for:O
2020:O
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contributions:O
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1:O
%:O
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on:O
eligible:O
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employees:O
eligible:O
on:O
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last:O
business:O
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
addition:O
to:O
the:O
investments:O
summarized:O
in:O
the:O
table:O
above:O
,:O
as:O
of:O
December31:O
,:O
2019:O
and:O
2018:O
,:O
the:O
Company:O
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. | [
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"O",
"O",
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"O",
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"O",
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"O",
"O",
"O",
"B-EquitySecuritiesWithoutReadilyDeterminableFairValueAmount",
"O",... | [
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... |
End of preview. Expand in Data Studio
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