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fnxl200 | 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
twelve:O
months:O
ended:O
December:O
31:O
,:O
2018:O
,:O
we:O
recorded:O
excess:O
and:O
obsolete:O
inventory:O
charges:O
of:O
$:O
7.3:B-InventoryWriteDown
million:O
in:O
cost:O
of:O
sales:O
primarily:O
as:O
a:O
result:O
of:O
the:O
approval:O
and:O
launch:O
of:O
our:O
G6:O
system:O
and:O
our:O
ongoing:O
a... | During the twelve months ended December 31, 2018, we recorded excess and obsolete inventory charges of $7.3 million in cost of sales primarily as a result of the approval and launch of our G6 system and our ongoing assessment of sales demand and the continuous improvement and innovation of our products. | [
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fnxl201 | 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... | To:O
date:O
,:O
Mattel:O
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fnxl202 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | In:O
2018:O
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the:O
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intangible:O
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29.0:B-ImpairmentOfIntangibleAssetsIndefinitelivedExcludingGoodwill
million:O
related:O
to:O
VX-210:O
that:O
was:O
licensed:O
from:O
BioAxone:O
in:O
2014:O
and:O
$:O
255.3:B-ImpairmentOfIntangibleAssetsIndefinit... | In 2018 and 2017, the Company recorded intangible asset impairment charges of $29.0 million related to VX-210 that was licensed from BioAxone in 2014 and $255.3 million related to Parion’s pulmonary ENaC platform, respectively. | [
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fnxl203 | 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
ending:O
balance:O
of:O
assets:O
recognized:O
from:O
costs:O
to:O
obtain:O
a:O
contract:O
with:O
a:O
customer:O
was:O
$:O
93.0:B-CapitalizedContractCostNet
million:O
as:O
of:O
January31:O
,:O
2019:O
.:O | The ending balance of assets recognized from costs to obtain a contract with a customer was $93.0 million as of January31, 2019. | [
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fnxl204 | 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
the:O
Company:O
sold:O
13.0million:O
shares:O
of:O
common:O
stock:O
resulting:O
in:O
$:O
97.4:B-ProceedsFromIssuanceOfCommonStock
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in:O
net:O
proceeds:O
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this:O
amount:O
excludes:O
$:O
0.5million:O
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the:O
first:O
quarter:O
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2020:O
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Decemb... | In 2019, the Company sold 13.0million shares of common stock resulting in $97.4 million in net proceeds (this amount excludes $0.5million received in the first quarter of 2020 for shares traded in late December 2019) under its various At Market Issuance Sales Agreement. | [
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fnxl205 | 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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,:O
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settled:O
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at:O
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average:O
net:O
price:O
of:O
$:O
27.66:B-SaleOfStockPricePerShare
per:O
share:O
resulting:O
in:O
net:O
proceeds:O
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4... | During the year ended December31, 2019, the Company settled all 15.3 million shares under the 2018 forward equity sales agreement at a weighted average net price of $27.66 per share resulting in net proceeds of $422 million. | [
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fnxl206 | 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
preliminarily:O
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10.2:B-GoodwillAcquiredDuringPeriod
billion:O
of:O
goodwill:O
related:O
to:O
the:O
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Acquisition:O
.:O | The Company preliminarily recorded approximately $10.2 billion of goodwill related to the Cytiva Acquisition. | [
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fnxl207 | 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
operating:O
and:O
capital:O
costs:O
billed:O
from:O
Evergy:O
Kansas:O
Central:O
to:O
Evergy:O
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were:O
$:O
40.6:B-RelatedPartyTransactionAmountsOfTransaction
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for:O
2019:O
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$:O
17.5:B-RelatedPartyTransactionAmountsOfTransaction
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for:O
2018:O
.:O | The operating and capital costs billed from Evergy Kansas Central to Evergy Metro were $40.6 million for 2019 and $17.5 million for 2018. | [
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fnxl208 | 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... | Quanta:O
made:O
contributions:O
to:O
the:O
eligible:O
participants:O
’:O
accounts:O
under:O
the:O
deferred:O
compensation:O
plans:O
of:O
$:O
1.1:B-DeferredCompensationArrangementWithIndividualContributionsByEmployer
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during:O
each:O
of:O
the:O
years:O
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December31:O
,:O
2019:O
,:O
2018:O
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2017:O
.:O | Quanta made contributions to the eligible participants’ accounts under the deferred compensation plans of $1.1 million during each of the years ended December31, 2019, 2018 and 2017. | [
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fnxl209 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | We:O
recorded:O
an:O
immaterial:O
impairment:O
charge:O
on:O
other:O
intangibles:O
in:O
2020:O
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$:O
168:B-ImpairmentOfIntangibleAssetsExcludingGoodwill
million:O
in:O
2018:O
.:O | We recorded an immaterial impairment charge on other intangibles in 2020 and $168 million in 2018. | [
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fnxl210 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | We:O
recorded:O
$:O
190:B-FinitelivedIntangibleAssetsAcquired1
million:O
of:O
other:O
intangible:O
assets:O
with:O
a:O
weighted:O
average:O
useful:O
life:O
of:O
7:O
years:O
.:O | We recorded $190 million of other intangible assets with a weighted average useful life of 7 years. | [
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fnxl211 | 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
margin:O
is:O
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to:O
potential:O
increases:O
of:O
up:O
to:O
50:O
basis:O
points:O
(:O
two:O
(:O
2:O
):O
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of:O
25:O
basis:O
points:O
each:O
):O
upon:O
certain:O
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net:O
first:O
lien:O
leverage:O
ratios:O
,:O
as:O
defined:O
in:O
the:O
Credit:O
Agreement:O
(:O
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interest:O... | The margin is subject to potential increases of up to 50 basis points (two (2) increases of 25 basis points each) upon certain increases to net first lien leverage ratios, as defined in the Credit Agreement (effective interest rate of 1.86% as of March31, 2021, before the impact of interest rate swaps). | [
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fnxl212 | 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... | Holders:O
of:O
outstanding:O
Lumen:O
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preferred:O
stock:O
are:O
entitled:O
to:O
receive:O
cumulative:O
dividends:O
,:O
receive:O
preferential:O
distributions:O
equal:O
to:O
$:O
25:B-PreferredStockDividendsPerShareDeclared
per:O
share:O
plus:O
unpaid:O
dividends:O
upon:O
Lumen:O
's:O
liquidation:O
and:O
vo... | Holders of outstanding Lumen Technologies preferred stock are entitled to receive cumulative dividends, receive preferential distributions equal to $25 per share plus unpaid dividends upon Lumen's liquidation and vote as a single class with the holders of common stock. | [
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fnxl213 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | (:O
2)As:O
of:O
March31:O
,:O
2021:O
,:O
the:O
total:O
reserve:O
balance:O
was:O
$:O
151:B-RestructuringReserve
million:O
of:O
which:O
$:O
99:B-RestructuringReserve
million:O
was:O
recorded:O
in:O
Other:O
accrued:O
liabilities:O
and:O
$:O
52:B-RestructuringReserve
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was:O
recorded:O
in:O
Other:O
non:O
-:O
curre... | (2)As of March31, 2021, the total reserve balance was $151 million of which $99 million was recorded in Other accrued liabilities and $52 million was recorded in Other non-current liabilities. | [
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"O",
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fnxl214 | 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
had:O
other:O
non:O
-:O
cash:O
activities:O
primarily:O
related:O
to:O
capital:O
expenditures:O
incurred:O
but:O
not:O
yet:O
paid:O
of:O
$:O
214.9:B-CapitalExpendituresIncurredButNotYetPaid
million:O
,:O
$:O
221.0:B-CapitalExpendituresIncurredButNotYetPaid
million:O
and:O
$:O
231.7:B-CapitalExpendituresIncu... | We also had other non-cash activities primarily related to capital expenditures incurred but not yet paid of $214.9 million, $221.0 million and $231.7 million during 2019, 2018 and 2017, respectively. | [
"O",
"O",
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"O",
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"B-CapitalExpendituresIncurredButNotYetPaid",
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fnxl215 | 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
recognized:O
the:O
cumulative:O
effect:O
of:O
initially:O
applying:O
the:O
new:O
revenue:O
standard:O
as:O
a:O
$:O
1.0:B-RetainedEarningsAccumulatedDeficit
million:O
reduction:O
in:O
the:O
January:O
1:O
,:O
2018:O
,:O
balance:O
of:O
retained:O
earnings:O
.:O
We:O
apply:O
the:O
practical:O
expedient:O
in:O
ASC:O
60... | We recognized the cumulative effect of initially applying the new revenue standard as a $1.0 million reduction in the January 1, 2018, balance of retained earnings.We apply the practical expedient in ASC 606-10-50-14 and do not disclose information about remaining performance obligations that have original expected dur... | [
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"O",
"O",
"O",
"O",
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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",
"O",
"O",
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
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fnxl216 | 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
amounts:O
paid:O
for:O
income:O
taxes:O
,:O
net:O
of:O
refunds:O
received:O
,:O
were:O
$:O
1.1:B-IncomeTaxesPaidNet
billion:O
,:O
$:O
877:B-IncomeTaxesPaidNet
million:O
and:O
$:O
1.0:B-IncomeTaxesPaidNet
billion:O
for:O
fiscal:O
2019:O
,:O
2018:O
and:O
2017:O
,:O
respectively:O
.:O | Cash amounts paid for income taxes, net of refunds received, were $1.1 billion, $877 million and $1.0 billion for fiscal 2019, 2018 and 2017, respectively. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-IncomeTaxesPaidNet",
"O",
"O",
"O",
"B-IncomeTaxesPaidNet",
"O",
"O",
"O",
"B-IncomeTaxesPaidNet",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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fnxl217 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | At:O
December31:O
,:O
2020:O
,:O
Alliant:O
Energy:O
’s:O
and:O
WPL:O
’s:O
minimum:O
future:O
commitments:O
in:O
2021:O
for:O
these:O
projects:O
were:O
$:O
8:B-LongTermPurchaseCommitmentAmount
million:O
and:O
$:O
7:B-LongTermPurchaseCommitmentAmount
million:O
,:O
respectively:O
.:O | At December31, 2020, Alliant Energy’s and WPL’s minimum future commitments in 2021 for these projects were $8 million and $7 million, respectively. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LongTermPurchaseCommitmentAmount",
"O",
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"O",
"B-LongTermPurchaseCommitmentAmount",
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fnxl218 | 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
if:O
(:O
x)the:O
Company:O
issues:O
additional:O
ClassA:O
ordinary:O
shares:O
or:O
equity:O
-:O
linked:O
securities:O
for:O
capital:O
raising:O
purposes:O
in:O
connection:O
with:O
the:O
closing:O
of:O
a:O
Business:O
Combination:O
at:O
an:O
issue:O
price:O
or:O
effective:O
issue:O
price:O
of:O
less:O... | In addition, if (x)the Company issues additional ClassA ordinary shares or equity-linked securities for capital raising purposes in connection with the closing of a Business Combination at an issue price or effective issue price of less than $9.20 per ClassA ordinary share (“Newly Issued Price”) (with such issue price ... | [
"O",
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"O",
"O",
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"O",
"O",
"O",
"O",
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"O",
"O",
"O",
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"O",
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"O",
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fnxl219 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | At:O
December31,2020:O
,:O
the:O
fair:O
value:O
of:O
the:O
Corporation:O
’s:O
investment:O
in:O
small:O
business:O
investment:O
companies:O
,:O
based:O
on:O
net:O
asset:O
value:O
,:O
was:O
$:O
1.48:B-EquitySecuritiesFvNi
million:O
.:O | At December31,2020, the fair value of the Corporation’s investment in small business investment companies, based on net asset value, was $1.48 million. | [
"O",
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"O",
"O",
"O",
"O",
"O",
"O",
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"O",
"O",
"O",
"O",
"O",
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"O",
"O",
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"O",
"B-EquitySecuritiesFvNi",
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fnxl220 | 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
from:O
contracts:O
with:O
customers:O
of:O
$:O
2.3:B-ContractWithCustomerAssetNet
billion:O
and:O
$:O
2.1:B-ContractWithCustomerAssetNet
billion:O
as:O
of:O
December:O
31:O
,:O
2019:O
and:O
2018:O
,:O
respectively:O
,:O
are:O
recorded:O
within:O
accounts:O
receivable:O
on:O
the:O
consolidated:O
balance:O
... | Receivables from contracts with customers of $2.3 billion and $2.1 billion as of December 31, 2019 and 2018, respectively, are recorded within accounts receivable on the consolidated balance sheet. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ContractWithCustomerAssetNet",
"O",
"O",
"O",
"B-ContractWithCustomerAssetNet",
"O",
"O",
"O",
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"O",
"O",
"O",
"O",
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"O",
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fnxl221 | 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
weighted:O
average:O
interest:O
rate:O
on:O
the:O
total:O
amount:O
outstanding:O
as:O
of:O
December31:O
,:O
2019:O
was:O
3.75:B-LineOfCreditFacilityInterestRateAtPeriodEnd
%:O
.:O | The weighted average interest rate on the total amount outstanding as of December31, 2019 was 3.75%. | [
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"O",
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"O",
"O",
"O",
"O",
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"O",
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"O",
"O",
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fnxl222 | 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
we:O
expect:O
to:O
derecognize:O
a:O
build:O
-:O
to:O
-:O
suit:O
arrangement:O
in:O
accordance:O
with:O
the:O
transition:O
requirements:O
,:O
which:O
will:O
result:O
in:O
an:O
adjustment:O
to:O
retained:O
earnings:O
of:O
approximately:O
$:O
7,000:B-CumulativeEffectOfNewAccountingPrincipleInPeriodOfA... | In addition, we expect to derecognize a build-to-suit arrangement in accordance with the transition requirements, which will result in an adjustment to retained earnings of approximately $7,000. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"B-CumulativeEffectOfNewAccountingPrincipleInPeriodOfAdoption",
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fnxl223 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
aggregate:O
intrinsic:O
value:O
of:O
restricted:O
units:O
outstanding:O
at:O
December31:O
,:O
2019:O
was:O
$:O
67.0:B-SharebasedCompensationArrangementBySharebasedPaymentAwardEquityInstrumentsOtherThanOptionsAggregateIntrinsicValueVested
million:O
.:O | The aggregate intrinsic value of restricted units outstanding at December31, 2019 was $67.0 million. | [
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"O",
"O",
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"O",
"O",
"O",
"O",
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"B-SharebasedCompensationArrangementBySharebasedPaymentAwardEquityInstrumentsOtherThanOptionsAggregateIntrinsicValueVested",
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"2019",
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fnxl224 | 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
had:O
$:O
1:B-UnrecognizedTaxBenefitsInterestOnIncomeTaxesAccrued
million:O
of:O
accrued:O
interest:O
related:O
to:O
uncertain:O
tax:O
positions:O
as:O
of:O
both:O
June:O
30:O
,:O
2020:O
and:O
2019:O
.:O | The Company had $1 million of accrued interest related to uncertain tax positions as of both June 30, 2020 and 2019. | [
"O",
"O",
"O",
"O",
"B-UnrecognizedTaxBenefitsInterestOnIncomeTaxesAccrued",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
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"O",
"O",
"O",
"O",
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"O",
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] |
fnxl225 | 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
Companyrecorded:O
liabilities:O
for:O
accrued:O
interest:O
and:O
penalties:O
of:O
approximately:O
$:O
4:B-IncomeTaxExaminationPenaltiesAndInterestAccrued
million:O
,:O
$:O
3:B-IncomeTaxExaminationPenaltiesAndInterestAccrued
million:O
and:O
$:O
3:B-IncomeTaxExaminationPenaltiesAndInterestAccrued
million:O
as:O
of:... | The Companyrecorded liabilities for accrued interest and penalties of approximately $4 million, $3 million and $3 million as of June30, 2021, 2020 and 2019, respectively. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-IncomeTaxExaminationPenaltiesAndInterestAccrued",
"O",
"O",
"O",
"B-IncomeTaxExaminationPenaltiesAndInterestAccrued",
"O",
"O",
"O",
"B-IncomeTaxExaminationPenaltiesAndInterestAccrued",
"O",
"O",
"O",
"O",
"O",... | [
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fnxl226 | 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
2017:O
charge:O
also:O
included:O
$:O
66.3:B-RestructuringAndRelatedCostIncurredCost
for:O
severance:O
and:O
other:O
benefits:O
associated:O
with:O
the:O
elimination:O
of:O
approximately:O
625:O
positions:O
,:O
primarily:O
in:O
the:O
Corporate:O
and:O
other:O
and:O
Industrial:O
Gases:O
–:O
EMEA:O
segments:O
.:O
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fnxl227 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | As:O
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$:O
4.4billion:O
,:O
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-:O
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a:O
364:O
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fnxl228 | 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
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Cred... | The Credit Agreement provides that loans will bear interest at rates based, at the Company’s option, on one of two specified base rates plus a margin based on certain formulas defined in the Credit Agreement.Additionally, the Credit Agreement contains a Commitment Fee, as defined in the Credit Agreement, on the amount ... | [
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fnxl229 | 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... | Apart:O
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26.2:B-FinitelivedIntangibleAssetsAcquired1
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the:O
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December31:O
,:O
2018:O
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resp... | Apart from the business combinations described in Note 5, we acquired $26.2 million and $13.4 million of intangible assets during the years ended December31, 2018 and 2017, respectively. | [
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fnxl230 | 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
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150.7:B-InterestPaidNet
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167.4:B-InterestPaidNet
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162.1:B-InterestPaidNet
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fnxl231 | 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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1.0:B-ProceedsFromLinesOfCredit
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1.0billion:O
,:O
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wor... | In March 2020, VF elected to draw down $1.0 billion from the Global Credit Facility, and in April 2020 VF drew down an additional $1.0billion, to strengthen the Company's cash position and support general working capital needs in Fiscal 2021, which was an action taken by the Company in response to the COVID-19 pandemic... | [
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fnxl232 | 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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413.2:B-CapitalizedContractCostNet
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fnxl233 | 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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171:B-IncomeTaxExaminationPenaltiesAndInterestAccrued
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124:B-IncomeTaxExaminationPenaltiesAndInterestAccrued
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fnxl234 | 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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8.6:B-DebtInstrumentFairValue
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1:O
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th... | The fair value of public debt was $7.4 billion and $8.6 billion at September30, 2019 and2018, respectively, which was determined primarily using market quotes classified as Level 1 inputs within the ASC 820 fair value hierarchy. | [
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fnxl235 | 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... | Inventory:O
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27:B-InventoryWriteDown
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25:B-InventoryWriteDown
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16:B-InventoryWriteDown
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fnxl236 | 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... | Awards:O
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):O
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fnxl237 | 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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46:B-BusinessCombinationContingentConsiderationLiability
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,:O
in:O
connection:O
with:O
the:O
Kentucky:O
ac... | As of December31, 2020, our Level 3 financial instruments recorded at fair value on a recurring basis included contingent consideration liabilities of $46 million, in connection with the Kentucky acquisition described in Note 4, “Business Combinations.” As of December 31, 2020, the contingent consideration fair value w... | [
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fnxl238 | 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
2012:O
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85:B-SharebasedCompensationArrangementBySharebasedPaymentAwardPurchasePriceOfCommonStockPercent
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the:O
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the:O
fair:O
market:O
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of:O
our:O
common:O
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on:O
the:O
first:O
trading:O... | Our 2012 ESPP permits eligible employees to acquire shares of our common stock at 85% of the lower of the fair market value of our common stock on the first trading day of each offering period or on the purchase date. | [
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fnxl239 | 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... | Each:O
whole:O
warrant:O
entitles:O
the:O
registered:O
holder:O
to:O
purchase:O
one:O
whole:O
share:O
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the:O
Company:O
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Common:O
Stock:O
at:O
a:O
price:O
of:O
$:O
11.50:B-SaleOfStockPricePerShare
per:O
share:O
,:O
subject:O
to:O
adjustment:O
as:O
discussed:O
below:O
,:O
30:O
days:O
after:O
the:O
Closin... | Each whole warrant entitles the registered holder to purchase one whole share of the Company’s ClassA Common Stock at a price of $11.50 per share, subject to adjustment as discussed below, 30 days after the Closing, provided that the Company has an effective registration statement under the Securities Act covering the ... | [
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fnxl240 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Shipping:O
and:O
handling:O
costs:O
are:O
classified:O
as:O
selling:O
,:O
administrative:O
and:O
other:O
expenses:O
in:O
the:O
accompanying:O
consolidated:O
statements:O
of:O
income:O
and:O
totaled:O
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301,900:B-CostOfGoodsAndServicesSold
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$:O
303,900:B-CostOfGoodsAndServicesSold
,:O
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$:O
278,... | Shipping and handling costs are classified as selling, administrative and other expenses in the accompanying consolidated statements of income and totaled approximately $301,900, $303,900, and $278,500, for the years ended December31, 2020, 2019, and 2018, respectively. | [
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fnxl241 | 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... | After:O
completion:O
of:O
the:O
purchase:O
price:O
allocations:O
,:O
the:O
$:O
19,076:B-GoodwillAcquiredDuringPeriod
excess:O
of:O
the:O
acquisition:O
consideration:O
over:O
the:O
fair:O
value:O
of:O
assets:O
acquired:O
and:O
liabilities:O
assumed:O
was:O
recorded:O
to:O
goodwill:O
.:O | After completion of the purchase price allocations, the $19,076 excess of the acquisition consideration over the fair value of assets acquired and liabilities assumed was recorded to goodwill. | [
"O",
"O",
"O",
"O",
"O",
"O",
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"B-GoodwillAcquiredDuringPeriod",
"O",
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fnxl242 | 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... | Loan:O
-:O
related:O
interest:O
income:O
generated:O
from:O
Palmetto:O
Heritage:O
was:O
approximately:O
$:O
5.6:B-BusinessCombinationProFormaInformationRevenueOfAcquireeSinceAcquisitionDateActual
million:O
and:O
$:O
1.2:B-BusinessCombinationProFormaInformationRevenueOfAcquireeSinceAcquisitionDateActual
million:O
for:O
... | Loan-related interest income generated from Palmetto Heritage was approximately $5.6 million and $1.2 million for the years ended December 31, 2019 and 2018, respectively. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-BusinessCombinationProFormaInformationRevenueOfAcquireeSinceAcquisitionDateActual",
"O",
"O",
"O",
"B-BusinessCombinationProFormaInformationRevenueOfAcquireeSinceAcquisitionDateActual",
"O",
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"O",
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",",
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fnxl243 | 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
used:O
approximately:O
$:O
610:O
million:O
of:O
cash:O
on:O
hand:O
and:O
approximately:O
$:O
410:B-ProceedsFromLinesOfCredit
million:O
of:O
borrowings:O
under:O
the:O
ABL:O
Facility:O
.:O | The Company used approximately $610 million of cash on hand and approximately $410 million of borrowings under the ABL Facility. | [
"O",
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"O",
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"O",
"O",
"O",
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"O",
"O",
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"O",
"B-ProceedsFromLinesOfCredit",
"O",
"O",
"O",
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"Facility",
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] |
fnxl244 | 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... | OCI:O
before:O
reclassifications:O
–:O
net:O
of:O
deferred:O
taxes:O
of:O
$:O
11:B-OtherComprehensiveIncomeLossBeforeReclassificationsTax
,:O
$:O
6:B-OtherComprehensiveIncomeLossBeforeReclassificationsTax
and:O
$:O
(:O
26:B-OtherComprehensiveIncomeLossBeforeReclassificationsTax
):O | OCI before reclassifications – net of deferred taxes of $11, $6 and $(26) | [
"O",
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"O",
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"B-OtherComprehensiveIncomeLossBeforeReclassificationsTax",
"O",
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"B-OtherComprehensiveIncomeLossBeforeReclassificationsTax",
"O",
"O",
"O",
"B-OtherComprehensiveIncomeLossBeforeReclassificationsTax",
"O"
] | [
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",",
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"6",
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"(",
"26",
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] |
fnxl245 | 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
twelve:O
months:O
ended:O
June:O
30:O
,:O
2021:O
,:O
under:O
the:O
2020:O
May:O
Program:O
,:O
the:O
Company:O
repurchased:O
and:O
retired:O
917,008:O
shares:O
of:O
common:O
stock:O
at:O
an:O
average:O
price:O
per:O
share:O
of:O
$:O
198.33:O
for:O
an:O
aggregate:O
amount:O
of:O
$:O
181.9:B-StockRepurchase... | During the twelve months ended June 30, 2021, under the 2020 May Program, the Company repurchased and retired 917,008 shares of common stock at an average price per share of $198.33 for an aggregate amount of $181.9 million. | [
"O",
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"O",
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fnxl246 | 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
total:O
matching:O
contribution:O
expense:O
under:O
the:O
Gilead:O
Sciences:O
401k:O
Plan:O
and:O
other:O
defined:O
benefit:O
plans:O
was:O
$:O
144:B-DeferredCompensationArrangementWithIndividualCompensationExpense
million:O
during:O
2020:O
,:O
$:O
110:B-DeferredCompensationArrangementWithIndividualCompensationEx... | Our total matching contribution expense under the Gilead Sciences 401k Plan and other defined benefit plans was $144 million during 2020, $110 million during 2019 and $91 million during 2018. | [
"O",
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"O",
"O",
"O",
"O",
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"B-DeferredCompensationArrangementWithIndividualCompensationExpense",
"O",
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fnxl247 | 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
PSP:O
Warrants:O
have:O
a:O
strike:O
price:O
of:O
$:O
31.50:B-ClassOfWarrantOrRightExercisePriceOfWarrantsOrRights1
per:O
share:O
(:O
which:O
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the:O
closing:O
price:O
of:O
UAL:O
's:O
common:O
stock:O
on:O
The:O
Nasdaq:O
Stock:O
Market:O
on:O
April9:O
,:O
2020:O
):O
.:O | The PSP Warrants have a strike price of $31.50 per share (which was the closing price of UAL's common stock on The Nasdaq Stock Market on April9, 2020). | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ClassOfWarrantOrRightExercisePriceOfWarrantsOrRights1",
"O",
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fnxl248 | 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
recognized:O
the:O
cumulative:O
effect:O
of:O
initially:O
applying:O
ASC:O
606:O
as:O
an:O
adjustment:O
to:O
the:O
opening:O
balance:O
of:O
retained:O
earnings:O
totaling:O
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6.5:B-RetainedEarningsAccumulatedDeficit
million:O
.:O | The Company recognized the cumulative effect of initially applying ASC 606 as an adjustment to the opening balance of retained earnings totaling $6.5 million. | [
"O",
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"O",
"O",
"B-RetainedEarningsAccumulatedDeficit",
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] |
fnxl249 | 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
incurred:O
approximately:O
$:O
0.2:B-DeferredFinanceCostsNet
million:O
of:O
debt:O
issuance:O
costs:O
related:O
to:O
the:O
Construction:O
Loan:O
,:O
which:O
are:O
recorded:O
as:O
a:O
direct:O
deduction:O
from:O
the:O
liability:O
.:O | The Company incurred approximately $0.2 million of debt issuance costs related to the Construction Loan, which are recorded as a direct deduction from the liability. | [
"O",
"O",
"O",
"O",
"O",
"B-DeferredFinanceCostsNet",
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
"O",
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"O",
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"."
] |
fnxl250 | 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... | FCX:O
paid:O
federal:O
,:O
state:O
and:O
foreign:O
income:O
taxes:O
totaling:O
$:O
397:B-IncomeTaxesPaid
million:O
in:O
2020:O
,:O
$:O
610:B-IncomeTaxesPaid
million:O
in:O
2019:O
and:O
$:O
2.0:B-IncomeTaxesPaid
billion:O
in:O
2018:O
.:O | FCX paid federal, state and foreign income taxes totaling $397 million in 2020, $610 million in 2019 and $2.0 billion in 2018. | [
"O",
"O",
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"O",
"O",
"O",
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"O",
"O",
"O",
"B-IncomeTaxesPaid",
"O",
"O",
"O",
"O",
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"B-IncomeTaxesPaid",
"O",
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"O",
"O",
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fnxl251 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
total:O
pretax:O
charges:O
are:O
estimated:O
to:O
be:O
approximately:O
$:O
300:B-RestructuringAndRelatedCostExpectedCost1
million:O
.:O | The total pretax charges are estimated to be approximately $300 million. | [
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"O",
"O",
"O",
"O",
"B-RestructuringAndRelatedCostExpectedCost1",
"O",
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"."
] |
fnxl252 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
Company:O
recorded:O
a:O
$:O
7.1:B-CumulativeEffectOfNewAccountingPrincipleInPeriodOfAdoption
reduction:O
to:O
opening:O
retained:O
earnings:O
as:O
of:O
October:O
1:O
,:O
2018:O
,:O
to:O
reflect:O
the:O
cumulative:O
effect:O
of:O
ASC:O
606:O
on:O
certain:O
contracts:O
not:O
complete:O
as:O
of:O
the:O
date:O
of:O
... | The Company recorded a $7.1 reduction to opening retained earnings as of October 1, 2018, to reflect the cumulative effect of ASC 606 on certain contracts not complete as of the date of adoption. | [
"O",
"O",
"O",
"O",
"O",
"B-CumulativeEffectOfNewAccountingPrincipleInPeriodOfAdoption",
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"O",
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"O",
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fnxl253 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Additionally:O
,:O
the:O
Company:O
acquired:O
goodwill:O
of:O
$:O
2:B-GoodwillAcquiredDuringPeriod
million:O
associated:O
with:O
one:O
of:O
its:O
acquisitions:O
in:O
the:O
Regulated:O
Businesses:O
segment:O
.:O | Additionally, the Company acquired goodwill of $2 million associated with one of its acquisitions in the Regulated Businesses segment. | [
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-GoodwillAcquiredDuringPeriod",
"O",
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"O",
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"O",
"O",
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] |
fnxl254 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Under:O
both:O
programs:O
,:O
for:O
the:O
fiscal:O
year:O
ended:O
June30:O
,:O
2021:O
,:O
the:O
Company:O
repurchased:O
and:O
retired:O
1,145,188:O
shares:O
of:O
common:O
stock:O
at:O
an:O
average:O
price:O
per:O
share:O
of:O
$:O
191.90:O
for:O
an:O
aggregate:O
amount:O
of:O
$:O
219.8:B-StockRepurchasedAndRetiredDuring... | Under both programs, for the fiscal year ended June30, 2021, the Company repurchased and retired 1,145,188 shares of common stock at an average price per share of $191.90 for an aggregate amount of $219.8 million. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
"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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"B-StockRepurchasedAndRetiredDuringPeriodValue",
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fnxl255 | 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
funded:O
the:O
acquisition:O
through:O
a:O
combination:O
of:O
existing:O
cash:O
resources:O
and:O
by:O
drawing:O
down:O
$:O
98.5:B-ProceedsFromLinesOfCredit
million:O
from:O
our:O
existing:O
revolving:O
credit:O
facility:O
(:O
Note:O
8):O
.:O | We funded the acquisition through a combination of existing cash resources and by drawing down $98.5 million from our existing revolving credit facility (Note 8). | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ProceedsFromLinesOfCredit",
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"O",
"O",
"O",
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] |
fnxl256 | 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
Darden:O
Savings:O
Plan:O
also:O
provides:O
for:O
a:O
profit:O
sharing:O
contribution:O
for:O
eligible:O
participants:O
equal:O
to:O
1.5:B-DefinedContributionPlanMaximumAnnualContributionsPerEmployeePercent
percent:O
of:O
the:O
participant:O
’s:O
compensation:O
.:O | The Darden Savings Plan also provides for a profit sharing contribution for eligible participants equal to 1.5 percent of the participant’s compensation. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-DefinedContributionPlanMaximumAnnualContributionsPerEmployeePercent",
"O",
"O",
"O",
"O",
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"equal",
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"percent",
"of",
"the",
"participant",
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"."
] |
fnxl257 | 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
2020:O
,:O
2019:O
and:O
2018:O
,:O
HP:O
had:O
accrued:O
$:O
34:B-IncomeTaxExaminationPenaltiesAndInterestAccrued
million:O
,:O
$:O
56:B-IncomeTaxExaminationPenaltiesAndInterestAccrued
million:O
and:O
$:O
160:B-IncomeTaxExaminationPenaltiesAndInterestAccrued
million:O
,:O
respectively:O
,:O
... | As of October 31, 2020, 2019 and 2018, HP had accrued $34 million, $56 million and $160 million, respectively, for interest and penalties. | [
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
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"B-IncomeTaxExaminationPenaltiesAndInterestAccrued",
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"B-IncomeTaxExaminationPenaltiesAndInterestAccrued",
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"O",
"O",
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fnxl258 | 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
recognized:O
expense:O
of:O
$:O
3:B-IncomeTaxExaminationPenaltiesAndInterestExpense
million:O
and:O
$:O
1:B-IncomeTaxExaminationPenaltiesAndInterestExpense
million:O
related:O
to:O
interest:O
and:O
penalties:O
for:O
uncertain:O
tax:O
positions:O
for:O
December:O
31:O
,:O
2019:O
and:O
2018:O
,:O
respecti... | The Company recognized expense of $3 million and $1 million related to interest and penalties for uncertain tax positions for December 31, 2019 and 2018, respectively. | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-IncomeTaxExaminationPenaltiesAndInterestExpense",
"O",
"O",
"O",
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"O",
"O",
"O",
"O",
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"O",
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",",
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"and",
"2018",
",",
"respectively... |
fnxl259 | 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
April2:O
,:O
2021:O
,:O
we:O
have:O
incurred:O
$:O
127:B-RestructuringAndRelatedCostCostIncurredToDate1
million:O
of:O
stock:O
-:O
based:O
compensation:O
related:O
to:O
our:O
equity:O
-:O
based:O
severance:O
program:O
.:O | As of April2, 2021, we have incurred $127 million of stock-based compensation related to our equity-based severance program. | [
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"O",
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"O",
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"B-RestructuringAndRelatedCostCostIncurredToDate1",
"O",
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] |
fnxl260 | 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
2014:O
,:O
the:O
district:O
court:O
entered:O
a:O
final:O
judgment:O
approving:O
the:O
terms:O
of:O
a:O
class:O
settlement:O
providing:O
for:O
,:O
among:O
other:O
things:O
,:O
cash:O
payment:O
to:O
the:O
class:O
of:O
$:O
6.05:B-LitigationSettlementAmountAwardedToOtherParty
billion:O
;:O
a:O
rebate:O
to:O
merchants... | In 2014, the district court entered a final judgment approving the terms of a class settlement providing for, among other things, cash payment to the class of $6.05 billion; a rebate to merchants participating in the damages class settlement of 10 bps on interchange collected for a period of eight months by the Visa an... | [
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"O",
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"O",
"O",
"O",
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"O",
"O",
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fnxl261 | 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
February1:O
,:O
2020:O
,:O
TJX:O
’s:O
cash:O
and:O
cash:O
equivalents:O
held:O
outside:O
the:O
U.S.:O
were:O
$:O
953.6:B-CashAndCashEquivalentsAtCarryingValue
million:O
,:O
of:O
which:O
$:O
584.7:B-CashAndCashEquivalentsAtCarryingValue
million:O
was:O
held:O
in:O
countries:O
where:O
TJX:O
has:O
the:O
intentio... | As of February1, 2020, TJX’s cash and cash equivalents held outside the U.S. were $953.6 million, of which $584.7 million was held in countries where TJX has the intention to reinvest any undistributed earnings indefinitely. | [
"O",
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"O",
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"O",
"O",
"O",
"O",
"O",
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"B-CashAndCashEquivalentsAtCarryingValue",
"O",
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fnxl262 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | As:O
of:O
December:O
31:O
,:O
2020:O
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carrying:O
value:O
of:O
United:O
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investment:O
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$:O
9:B-EquitySecuritiesWithoutReadilyDeterminableFairValueAmount
million:O
.:O | As of December 31, 2020, the carrying value of United's investment was approximately $9 million. | [
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"B-EquitySecuritiesWithoutReadilyDeterminableFairValueAmount",
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] |
fnxl263 | 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
$:O
15.8:B-GoodwillAcquiredDuringPeriod
million:O
addition:O
to:O
goodwill:O
in:O
2020:O
was:O
due:O
to:O
the:O
preliminary:O
allocation:O
of:O
the:O
purchase:O
price:O
to:O
acquire:O
Partsmaster:O
.:O | (1)The $15.8 million addition to goodwill in 2020 was due to the preliminary allocation of the purchase price to acquire Partsmaster. | [
"O",
"O",
"O",
"B-GoodwillAcquiredDuringPeriod",
"O",
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"O",
"O",
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] |
fnxl264 | 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
proceeds:O
from:O
the:O
issuance:O
of:O
the:O
June:O
2016:O
Term:O
Loans:O
,:O
together:O
with:O
$:O
300.0:B-ProceedsFromLinesOfCredit
million:O
of:O
borrowings:O
under:O
the:O
ABL:O
Facility:O
,:O
were:O
used:O
to:O
repay:O
the:O
then:O
-:O
existing:O
Albertsons:O
Term:O
Loans:O
and:O
related:O
interest:O
and:O
... | The proceeds from the issuance of the June 2016 Term Loans, together with $300.0 million of borrowings under the ABL Facility, were used to repay the then-existing Albertsons Term Loans and related interest and fees (collectively, the "June 2016 Term Loan Refinancing"). | [
"O",
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"O",
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"O",
"B-ProceedsFromLinesOfCredit",
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"O",
"O",
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fnxl265 | 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
there:O
were:O
169,982:B-ShareBasedCompensationArrangementByShareBasedPaymentAwardEquityInstrumentsOtherThanOptionsVestedInPeriod
shares:O
earned:O
as:O
of:O
December:O
31:O
,:O
2020:O
related:O
to:O
certain:O
retirees:O
and:O
other:O
individuals:O
that:O
will:O
be:O
issued:O
at:O
the:O
end:O
of:O
t... | In addition, there were 169,982 shares earned as of December 31, 2020 related to certain retirees and other individuals that will be issued at the end of the relevant performance periods based on the ultimate level of performance achieved with respect to those periods. | [
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"O",
"O",
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"B-ShareBasedCompensationArrangementByShareBasedPaymentAwardEquityInstrumentsOtherThanOptionsVestedInPeriod",
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"O",
"O",
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fnxl266 | 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... | Contract:O
assets:O
of:O
$:O
39:B-ContractWithCustomerAssetNet
million:O
,:O
$:O
13:B-ContractWithCustomerAssetNet
million:O
and:O
$:O
14:B-ContractWithCustomerAssetNet
million:O
are:O
included:O
in:O
unbilled:O
revenues:O
on:O
the:O
Consolidated:O
Balance:O
Sheets:O
as:O
of:O
December31:O
,:O
2020:O
,:O
2019:O
and:O
2... | Contract assets of $39 million, $13 million and $14 million are included in unbilled revenues on the Consolidated Balance Sheets as of December31, 2020, 2019 and 2018, respectively. | [
"O",
"O",
"O",
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"B-ContractWithCustomerAssetNet",
"O",
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"O",
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fnxl267 | 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
contribute:O
up:O
to:O
10:B-DefinedContributionPlanEmployerMatchingContributionPercentOfMatch
%:O
of:O
total:O
salary:O
into:O
the:O
plan:O
annually:O
when:O
employees:O
contribute:O
to:O
the:O
plan:O
.:O | We contribute up to 10% of total salary into the plan annually when employees contribute to the plan. | [
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"O",
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"O",
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] |
fnxl268 | 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
transaction:O
resulted:O
in:O
a:O
gain:O
of:O
$:O
549:B-GainLossOnDispositionOfAssets1
million:O
(:O
$:O
386:O
million:O
,:O
net:O
of:O
tax:O
):O
for:O
2019:O
,:O
which:O
included:O
a:O
reduction:O
for:O
the:O
present:O
value:O
of:O
the:O
estimated:O
amount:O
payable:O
under:O
the:O
guarantee:O
obligation:O
.:O | This transaction resulted in a gain of $549 million ($386 million, net of tax) for 2019, which included a reduction for the present value of the estimated amount payable under the guarantee obligation. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-GainLossOnDispositionOfAssets1",
"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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fnxl269 | 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
contract:O
assets:O
as:O
of:O
December:O
31:O
,:O
2019:O
and:O
December:O
31:O
,:O
2018:O
was:O
$:O
43.9:B-ContractWithCustomerAssetNet
million:O
and:O
$:O
25.9:B-ContractWithCustomerAssetNet
million:O
,:O
respectively:O
.:O | The balance of contract assets as of December 31, 2019 and December 31, 2018 was $43.9 million and $25.9 million, respectively. | [
"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",
"O",
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] |
fnxl270 | 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
2018:O
,:O
we:O
had:O
334,063:O
Australian:O
dollars:O
(:O
$:O
235,645:B-DebtInstrumentFairValue
based:O
upon:O
the:O
exchange:O
rate:O
between:O
the:O
United:O
States:O
dollar:O
and:O
the:O
Australian:O
dollar:O
as:O
of:O
December31:O
,:O
2018:O
):O
outstanding:O
on:O
the:O
AUD:O
Term:O
Loan... | As of December31, 2018, we had 334,063 Australian dollars ($235,645 based upon the exchange rate between the United States dollar and the Australian dollar as of December31, 2018) outstanding on the AUD Term Loan. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"B-DebtInstrumentFairValue",
"O",
"O",
"O",
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"O",
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"O",
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fnxl271 | 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
Company:O
interest:O
payments:O
were:O
$:O
616:B-InterestPaid
,:O
$:O
527:B-InterestPaid
and:O
$:O
523:B-InterestPaid
for:O
the:O
years:O
ended:O
December:O
31:O
,:O
2018:O
,:O
2017:O
and:O
2016:O
,:O
respectively:O
.:O | Total Company interest payments were $616, $527 and $523 for the years ended December 31, 2018, 2017 and 2016, respectively. | [
"O",
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"O",
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"O",
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"B-InterestPaid",
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",",
"2017",
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",",
"respectively",
"."
] |
fnxl272 | 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
1.9:B-DeferredCompensationArrangementWithIndividualCompensationExpense
million:O
,:O
$:O
0.6:B-DeferredCompensationArrangementWithIndividualCompensationExpense
million:O
and:O
$:O
1.7:B-DeferredCompen... | Compensation expense recognized for all of the Company’s deferred compensation plans was $1.9 million, $0.6 million and $1.7 million in 2020, 2019 and 2018, respectively. | [
"O",
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"O",
"O",
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"O",
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fnxl273 | 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... | Retired:O
employees:O
who:O
elected:O
lump:O
-:O
sum:O
payments:O
resulted:O
in:O
net:O
settlement:O
losses:O
of:O
$:O
31:B-DefinedBenefitPlanRecognizedNetGainLossDueToSettlements1
million:O
for:O
our:O
U.S.:O
plans:O
and:O
$:O
4:B-DefinedBenefitPlanRecognizedNetGainLossDueToSettlements1
million:O
for:O
our:O
non:O
-:O... | Retired employees who elected lump-sum payments resulted in net settlement losses of $31 million for our U.S. plans and $4 million for our non-U.S. plans in 2018, $21 million for our U.S. plans and $6 million for our non-U.S. plans in 2017 and $15 million for our U.S. plans and $6 million for our non-U.S. plans in 2016... | [
"O",
"O",
"O",
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"O",
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fnxl274 | 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
had:O
$:O
6.0:B-CapitalExpendituresIncurredButNotYetPaid
million:O
and:O
$:O
11.1:B-CapitalExpendituresIncurredButNotYetPaid
million:O
of:O
accrued:O
capital:O
expenditures:O
as:O
of:O
December31:O
,:O
2020:O
and:O
2019:O
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.:O | We had $6.0 million and $11.1 million of accrued capital expenditures as of December31, 2020 and 2019, respectively. | [
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"B-CapitalExpendituresIncurredButNotYetPaid",
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"O",
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",",
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] |
fnxl275 | 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
July25:O
,:O
2020:O
and:O
July27:O
,:O
2019:O
,:O
our:O
contract:O
assets:O
for:O
these:O
unbilled:O
receivables:O
were:O
$:O
1.2:B-ContractWithCustomerAssetNet
billion:O
and:O
$:O
860:B-ContractWithCustomerAssetNet
million:O
,:O
respectively:O
,:O
and:O
were:O
included:O
in:O
other:O
current:O
assets:O
and:O... | As of July25, 2020 and July27, 2019, our contract assets for these unbilled receivables were $1.2 billion and $860 million, respectively, and were included in other current assets and other assets. | [
"O",
"O",
"O",
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fnxl276 | 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
weighted:O
average:O
interest:O
rate:O
on:O
the:O
outstanding:O
balances:O
was:O
0.4:B-LongtermDebtWeightedAverageInterestRate
%:O
.:O | The weighted average interest rate on the outstanding balances was 0.4%. | [
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LongtermDebtWeightedAverageInterestRate",
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] |
fnxl277 | 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... | Current:O
year:O
depreciation:O
expense:O
related:O
to:O
internal:O
use:O
software:O
was:O
$:O
49:B-DepreciationDepletionAndAmortization
million:O
(:O
2017:O
–:O
$:O
55:B-DepreciationDepletionAndAmortization
million:O
;:O
2016:O
–:O
$:O
63:B-DepreciationDepletionAndAmortization
million:O
):O
.:O | Current year depreciation expense related to internal use software was $49 million (2017 – $55 million; 2016 – $63 million). | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-DepreciationDepletionAndAmortization",
"O",
"O",
"O",
"O",
"O",
"B-DepreciationDepletionAndAmortization",
"O",
"O",
"O",
"O",
"O",
"B-DepreciationDepletionAndAmortization",
"O",
"O",
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";",
"2016",
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"63",
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")",
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] |
fnxl278 | 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
these:O
investments:O
was:O
$:O
0.5:B-EquitySecuritiesWithoutReadilyDeterminableFairValueAmount
million:O
and:O
$:O
0.3:B-EquitySecuritiesWithoutReadilyDeterminableFairValueAmount
million:O
as:O
of:O
December31:O
,:O
2020:O
and:O
December31:O
,:O
2019:O
,:O
respectively:O
.:O | The carrying value of these investments was $0.5 million and $0.3 million as of December31, 2020 and December31, 2019, respectively. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-EquitySecuritiesWithoutReadilyDeterminableFairValueAmount",
"O",
"O",
"O",
"B-EquitySecuritiesWithoutReadilyDeterminableFairValueAmount",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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",",
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",",
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fnxl279 | 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... | It:O
is:O
also:O
reasonably:O
possible:O
that:O
the:O
total:O
amount:O
of:O
unrecognized:O
tax:O
benefits:O
at:O
December31:O
,:O
2019:O
could:O
decrease:O
in:O
the:O
range:O
of:O
approximately:O
$:O
290:B-DecreaseInUnrecognizedTaxBenefitsIsReasonablyPossible
million:O
to:O
$:O
330:B-DecreaseInUnrecognizedTaxBenefitsIs... | It is also reasonably possible that the total amount of unrecognized tax benefits at December31, 2019 could decrease in the range of approximately $290 million to $330 million in the next twelve months as a result of the settlement of certain tax audits and other events. | [
"O",
"O",
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"O",
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"O",
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fnxl280 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | During:O
the:O
year:O
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December:O
31:O
,:O
2020:O
,:O
the:O
Parent:O
Company:O
paid:O
letter:O
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credit:O
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ranging:O
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1:B-LineOfCreditFacilityUnusedCapacityCommitmentFeePercentage
%:O
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3:B-LineOfCreditFacilityUnusedCapacityCommitmentFeePercentage
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per:O
annum:O
on:O
the:O
outstanding:O
amou... | During the year ended December 31, 2020, the Parent Company paid letter of credit fees ranging from 1% to 3% per annum on the outstanding amounts. | [
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fnxl281 | 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
recognized:O
non:O
-:O
cash:O
impairment:O
charges:O
of:O
$:O
31:B-ImpairmentOfIntangibleAssetsFinitelived
million:O
in:O
the:O
fiscal:O
year:O
2019:O
to:O
reduce:O
the:O
carrying:O
value:O
of:O
an:O
indefinite:O
-:O
lived:O
technology:O
intangible:O
asset:O
to:O
its:O
fair:O
value:O
.:O | The Company recognized non-cash impairment charges of $31 million in the fiscal year 2019 to reduce the carrying value of an indefinite-lived technology intangible asset to its fair value. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ImpairmentOfIntangibleAssetsFinitelived",
"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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fnxl282 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Additionally:O
,:O
the:O
Company:O
expensed:O
$:O
8.6:B-InterestExpense
million:O
of:O
the:O
premium:O
paid:O
for:O
the:O
derivatives:O
as:O
a:O
component:O
of:O
interest:O
expense:O
for:O
the:O
year:O
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31:O
,:O
2018:O
.:O | Additionally, the Company expensed $8.6 million of the premium paid for the derivatives as a component of interest expense for the year ended December 31, 2018. | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-InterestExpense",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
"O",
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] |
fnxl283 | 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... | Amortization:O
expense:O
of:O
intangible:O
assets:O
was:O
$:O
15:O
million:O
,:O
$:O
17:O
million:O
and:O
$:O
13:B-FiniteLivedIntangibleAssetsAmortizationExpenseYearThree
million:O
for:O
the:O
years:O
ended:O
December31:O
,:O
2019:O
,:O
2018:O
and:O
2017:O
,:O
respectively:O
.:O | Amortization expense of intangible assets was $15 million, $17 million and $13 million for the years ended December31, 2019, 2018 and 2017, respectively. | [
"O",
"O",
"O",
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
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fnxl284 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
total:O
intrinsic:O
value:O
of:O
the:O
RSUs:O
that:O
vested:O
was:O
$:O
159.0:B-SharebasedCompensationArrangementBySharebasedPaymentAwardEquityInstrumentsOtherThanOptionsAggregateIntrinsicValueVested
million:O
,:O
$:O
91.2:B-SharebasedCompensationArrangementBySharebasedPaymentAwardEquityInstrumentsOtherThanOption... | The total intrinsic value of the RSUs that vested was $159.0 million, $91.2 million and $70.7 million during fiscal 2020, 2019 and 2018, respectively, determined as of the date of vesting. | [
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"O",
"O",
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"B-SharebasedCompensationArrangementBySharebasedPaymentAwardEquityInstrumentsOtherThanOptio... | [
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",",
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fnxl285 | 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
swaps:O
had:O
an:O
initial:O
aggregate:O
notional:O
value:O
of:O
AUD:O
42.4:O
million:O
and:O
,:O
depending:O
on:O
the:O
loan:O
facility:O
being:O
hedged:O
,:O
entitled:O
the:O
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to:O
receive:O
one:O
-:O
month:O
or:O
three:O
-:O
month:O
floating:O
Bank:O
Bill:O
Swap:O
Bid:O
(:O
“:O
BBSY:O
”:O
):O
interest... | The swaps had an initial aggregate notional value of AUD 42.4 million and, depending on the loan facility being hedged, entitled the project to receive one-month or three-month floating Bank Bill Swap Bid (“BBSY”) interest rates while requiring the project to pay fixed rates of 2.0615% or 3.2020%. | [
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fnxl286 | 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
Company:O
sold:O
warrants:O
(:O
2023:O
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):O
to:O
the:O
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Counterparties:O
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Counterparties:O
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a:O
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the:O
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’s:O
Class:O
A:O
common:O
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at:O
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approxi... | In addition, the Company sold warrants (2023 warrants) to the 2018 Counterparties whereby the 2018 Counterparties have the option to purchase a total of 11.1 million shares of the Company’s Class A common stock at a price of approximately $109.26 per share. | [
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fnxl287 | 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
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December31:O
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2020:O
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2019:O
and:O
2018:O
,:O
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,:O
foreign:O
currency:O
losses:O
were:O
$:O
24:B-ForeignCurrencyTransactionGainLossRealized
million:O
,:O
$:O
32:B-ForeignCurrencyTransactionGainLossRealized
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and:O
$:O
54:B-ForeignCurrencyTransactionGainLossRealize... | For the years ended December31, 2020, 2019 and 2018, respectively, foreign currency losses were $24 million, $32 million and $54 million. | [
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] |
fnxl288 | 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... | Therefore:O
,:O
we:O
recorded:O
a:O
$:O
2.7:B-ImpairmentOfLongLivedAssetsHeldForUse
million:O
impairment:O
charge:O
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the:O
difference:O
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the:O
fair:O
value:O
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the:O
carrying:O
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the:O
assets:O
in:O
":O
Loss:O
on:O
impairment:O
/:O
retirement:O
of:O
fixed:O
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":O
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th... | Therefore, we recorded a $2.7 million impairment charge equal to the difference between the fair value and the carrying amounts of the assets in "Loss on impairment / retirement of fixed assets" within the consolidated statement of | [
"O",
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"B-ImpairmentOfLongLivedAssetsHeldForUse",
"O",
"O",
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fnxl289 | 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
July25:O
,:O
2020:O
and:O
July27:O
,:O
2019:O
,:O
we:O
held:O
equity:O
interests:O
in:O
certain:O
private:O
equity:O
funds:O
of:O
$:O
0.7:B-EquitySecuritiesWithoutReadilyDeterminableFairValueAmount
billion:O
and:O
$:O
0.6:B-EquitySecuritiesWithoutReadilyDeterminableFairValueAmount
billion:O
,:O
respectively:O... | As of July25, 2020 and July27, 2019, we held equity interests in certain private equity funds of $0.7 billion and $0.6 billion, respectively, which are accounted for under the NAV practical expedient. | [
"O",
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fnxl290 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | Under:O
the:O
current:O
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of:O
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purchased:O
four:O
times:O
during:O
the:O
plan:O
year:O
at:O
a:O
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that:O
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95:B-SharebasedCompensationArrangementBySharebasedPaymentAwardPurchasePriceOfCommonStockPercent
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of:O
the:O
average:O
market:O
price:O
on:O
each:O
quarterly:O
purc... | Under the current terms of the Plan, shares are purchased four times during the plan year at a price that is 95% of the average market price on each quarterly purchase date. | [
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fnxl291 | 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
did:O
not:O
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impairment:O
for:O
the:O
Waterworks:O
reporting:O
unit:O
tradename:O
in:O
fiscal:O
2019:O
,:O
and:O
the:O
Waterworks:O
tradename:O
balance:O
was:O
$:O
37.5:B-IndefiniteLivedIntangibleAssetsExcludingGoodwill
million:O
as:O
of:O
February1:O
,:O
2020:O
.:O | The Company did not recognize any impairment for the Waterworks reporting unit tradename in fiscal 2019, and the Waterworks tradename balance was $37.5 million as of February1, 2020. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-IndefiniteLivedIntangibleAssetsExcludingGoodwill",
"O",
"O",
"O",
"O",
"O",
"O",
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] | [
"The",
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"2019",
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"Waterworks",
"tradename",
"balance",
"was",
"$",
"37.5",
"million",
"as",
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fnxl292 | 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
marketable:O
equity:O
securities:O
were:O
$:O
450:B-EquitySecuritiesFvNi
million:O
and:O
$:O
429:B-EquitySecuritiesFvNi
million:O
at:O
December31:O
,:O
2019:O
and:O
2018:O
,:O
respectively:O
.:O | Total marketable equity securities were $450 million and $429 million at December31, 2019 and 2018, respectively. | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-EquitySecuritiesFvNi",
"O",
"O",
"O",
"B-EquitySecuritiesFvNi",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | [
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"$",
"429",
"million",
"at",
"December31",
",",
"2019",
"and",
"2018",
",",
"respectively",
"."
] |
fnxl293 | 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... | Alabama:O
Power:O
's:O
costs:O
for:O
these:O
services:O
were:O
immaterial:O
for:O
2020:O
and:O
totaled:O
$:O
7:B-RelatedPartyTransactionAmountsOfTransaction
million:O
and:O
$:O
24:B-RelatedPartyTransactionAmountsOfTransaction
million:O
in:O
2019:O
and:O
2018:O
,:O
respectively:O
.:O | Alabama Power's costs for these services were immaterial for 2020 and totaled $7 million and $24 million in 2019 and 2018, respectively. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-RelatedPartyTransactionAmountsOfTransaction",
"O",
"O",
"O",
"B-RelatedPartyTransactionAmountsOfTransaction",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | [
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"Power",
"'s",
"costs",
"for",
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"and",
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"7",
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"and",
"$",
"24",
"million",
"in",
"2019",
"and",
"2018",
",",
"respectively",
"."
] |
fnxl294 | 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
recognized:O
$:O
31:B-CumulativeEffectOfNewAccountingPrincipleInPeriodOfAdoption
million:O
related:O
to:O
the:O
cumulative:O
effect:O
of:O
applying:O
the:O
ASU:O
as:O
an:O
adjustment:O
to:O
its:O
opening:O
retained:O
earnings:O
balance:O
as:O
of:O
January:O
1:O
,:O
2018:O
.:O | The Company recognized $31 million related to the cumulative effect of applying the ASU as an adjustment to its opening retained earnings balance as of January 1, 2018. | [
"O",
"O",
"O",
"O",
"B-CumulativeEffectOfNewAccountingPrincipleInPeriodOfAdoption",
"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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"effect",
"of",
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"the",
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"as",
"an",
"adjustment",
"to",
"its",
"opening",
"retained",
"earnings",
"balance",
"as",
"of",
"January",
"1",
",",
"2018"... |
fnxl295 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | The:O
total:O
restructuring:O
liability:O
as:O
of:O
December:O
31:O
,:O
2019:O
of:O
$:O
32:B-RestructuringReserve
million:O
is:O
classified:O
in:O
the:O
Consolidated:O
Balance:O
Sheets:O
under:O
current:O
liabilities:O
.:O | The total restructuring liability as of December 31, 2019 of $32 million is classified in the Consolidated Balance Sheets under current liabilities. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-RestructuringReserve",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | [
"The",
"total",
"restructuring",
"liability",
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"2019",
"of",
"$",
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"is",
"classified",
"in",
"the",
"Consolidated",
"Balance",
"Sheets",
"under",
"current",
"liabilities",
"."
] |
fnxl296 | 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
the:O
carrying:O
values:O
of:O
investments:O
in:O
privately:O
held:O
entities:O
that:O
report:O
NAV:O
aggregated:O
$:O
433.9:B-EquitySecuritiesFvNi
million:O
and:O
$:O
317.8:B-EquitySecuritiesFvNi
million:O
,:O
respectively:O
.:O | As of December31, 2019 and 2018, the carrying values of investments in privately held entities that report NAV aggregated $433.9 million and $317.8 million, respectively. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-EquitySecuritiesFvNi",
"O",
"O",
"O",
"B-EquitySecuritiesFvNi",
"O",
"O",
"O",
"O"
] | [
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"of",
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"and",
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"carrying",
"values",
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"that",
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"NAV",
"aggregated",
"$",
"433.9",
"million",
"and",
"$",
"317.8",
"million",
",",
"respecti... |
fnxl297 | 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
amount:O
of:O
interest:O
paid:O
in:O
2019:O
,:O
2018:O
and:O
2017:O
was:O
$:O
111.8:B-InterestPaidNet
million:O
,:O
$:O
108.2:B-InterestPaidNet
million:O
and:O
$:O
121.0:B-InterestPaidNet
million:O
,:O
respectively:O
.:O | The amount of interest paid in 2019, 2018 and 2017 was $111.8 million, $108.2 million and $121.0 million, respectively. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-InterestPaidNet",
"O",
"O",
"O",
"B-InterestPaidNet",
"O",
"O",
"O",
"B-InterestPaidNet",
"O",
"O",
"O",
"O"
] | [
"The",
"amount",
"of",
"interest",
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"in",
"2019",
",",
"2018",
"and",
"2017",
"was",
"$",
"111.8",
"million",
",",
"$",
"108.2",
"million",
"and",
"$",
"121.0",
"million",
",",
"respectively",
"."
] |
fnxl298 | 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... | Following:O
a:O
court:O
-:O
ordered:O
mediation:O
on:O
March:O
28:O
,:O
2019:O
,:O
we:O
reached:O
an:O
agreement:O
in:O
principle:O
to:O
settle:O
this:O
matter:O
for:O
a:O
total:O
of:O
$:O
13:B-LitigationSettlementAmountAwardedToOtherParty
million:O
,:O
including:O
attorneys:O
’:O
fees:O
.:O | Following a court-ordered mediation on March 28, 2019, we reached an agreement in principle to settle this matter for a total of $13 million, including attorneys’ fees. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LitigationSettlementAmountAwardedToOtherParty",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | [
"Following",
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"-",
"ordered",
"mediation",
"on",
"March",
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",",
"2019",
",",
"we",
"reached",
"an",
"agreement",
"in",
"principle",
"to",
"settle",
"this",
"matter",
"for",
"a",
"total",
"of",
"$",
"13",
"million",
",",
"including",
"at... |
fnxl299 | In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAs... | If:O
we:O
had:O
borrowed:O
against:O
our:O
Credit:O
Agreement:O
,:O
the:O
borrowing:O
rate:O
would:O
have:O
been:O
3.035:B-LineOfCreditFacilityInterestRateAtPeriodEnd
%:O
at:O
December31:O
,:O
2019:O
.:O | If we had borrowed against our Credit Agreement, the borrowing rate would have been 3.035% at December31, 2019. | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LineOfCreditFacilityInterestRateAtPeriodEnd",
"O",
"O",
"O",
"O",
"O",
"O"
] | [
"If",
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"borrowed",
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"our",
"Credit",
"Agreement",
",",
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"rate",
"would",
"have",
"been",
"3.035",
"%",
"at",
"December31",
",",
"2019",
"."
] |
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