Loading dataset
Data viewTableSummary
Data viewTableSummary
Updated

2.5 MB across 12 parts, newest sealed 31 October 2026 at 22:57 UTC.

The first build wrote 12 parts and 2,003 rows.

ONE_ROW_PER_REPORT passed.

AUDITOR_MOSTLY_TAGGED passed.

DESCRIPTIONS_MOSTLY_FOUND failed.

CONFIDENCE_IS_PROBABILITY passed.

ABOUT_3000_REPORTS passed.

accession

string

The SEC accession number of the annual report.

2,003 distinct values, no chart

Valid
2,003 · 100%
Missing
0 · 0%
Distinct
2,003 · 100% of valid

cik

integer

SEC CIK of the filer.

Histogram: 1750 to 188251, 419; 188252 to 374752, 73; 374753 to 561254, 0; 561255 to 747755, 124; 747756 to 934257, 496; 934258 to 1120758, 392; 1120759 to 1307260, 209; 1307261 to 1493761, 290
17501493761
Valid
2,003 · 100%
Missing
0 · 0%
Distinct
1,993 · 99.5% of valid
Min
1750
25%
703351
Median
906345
75%
1120193
Max
1493761

listed_cik

integer

CIK of the listed security in source_securities (differs for a successor or predecessor registrant).

Histogram: 1750 to 266446, 419; 266447 to 531143, 64; 531144 to 795839, 208; 795840 to 1060536, 636; 1060537 to 1325233, 375; 1325234 to 1589929, 273; 1589930 to 1854626, 19; 1854627 to 2119322, 9
17502119322
Valid
2,003 · 100%
Missing
0 · 0%
Distinct
1,993 · 99.5% of valid
Min
1750
25%
707549
Median
910108
75%
1137091
Max
2119322

ticker

string

Primary ticker, such as AAPL.

1,993 distinct values, no chart

Valid
2,003 · 100%
Missing
0 · 0%
Distinct
1,993 · 99.5% of valid

company_name

string

Company name on the EDGAR index.

1,993 distinct values, no chart

Valid
2,003 · 100%
Missing
0 · 0%
Distinct
1,993 · 99.5% of valid

form

string

Form type: 10-K, 10-KT or 10-K405.

  • 10-K100%
  • 10-KT0%
Valid
2,003 · 100%
Missing
0 · 0%
Distinct
2 · 0.1% of valid

filed_date

date

Date the report was filed.

Timeline per month: 2010-01-01, 37; 2010-02-01, 620; 2010-03-01, 836; 2010-04-01, 68; 2010-05-01, 36; 2010-06-01, 55; 2010-07-01, 40; 2010-08-01, 64; 2010-09-01, 64; 2010-10-01, 31; 2010-11-01, 81; 2010-12-01, 71
2010-01-012010-12-01

per month

Valid
2,003 · 100%
Missing
0 · 0%
Distinct
206 · 10.3% of valid

period_of_report

date

Fiscal year end the report covers, as the cover page tags it (dei:DocumentPeriodEndDate).

0 distinct values, no chart

Valid
0 · 0%
Missing
2,003 · 100%
Distinct
0 · 0% of valid

fiscal_year

integer

Fiscal year the report covers, as tagged (dei:DocumentFiscalYearFocus).

0 distinct values, no chart

Valid
0 · 0%
Missing
2,003 · 100%
Distinct
0 · 0% of valid

fiscal_year_end

string

Fiscal year end month and day as tagged, MM-DD, such as 09-27.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,003 · 100%
Distinct
0 · 0% of valid

doc_url

string

Main document on EDGAR.

1,980 distinct values, no chart

Valid
1,980 · 98.9%
Missing
23 · 1.1%
Distinct
1,980 · 100% of valid

index_url

string

Filing index page on EDGAR.

2,003 distinct values, no chart

Valid
2,003 · 100%
Missing
0 · 0%
Distinct
2,003 · 100% of valid

doc_status

string

Whether the main document was read: read, document not read, index not read or no main document.

  • read66%
  • document not read33%
  • index not read1%
Valid
2,003 · 100%
Missing
0 · 0%
Distinct
3 · 0.1% of valid

auditor_name

string

Audit firm that signed the report, as tagged (dei:AuditorName), such as Ernst & Young LLP.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,003 · 100%
Distinct
0 · 0% of valid

auditor_location

string

City and state of the signing audit office, as tagged.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,003 · 100%
Distinct
0 · 0% of valid

auditor_pcaob_id

integer

The audit firm's PCAOB ID, as tagged.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,003 · 100%
Distinct
0 · 0% of valid

big4_auditor

boolean

True when the auditor is Deloitte, EY, PwC or KPMG (rule on auditor_name).

0 distinct values, no chart

Valid
0 · 0%
Missing
2,003 · 100%
Distinct
0 · 0% of valid

filer_category

string

SEC filer category as tagged: Large accelerated filer, Accelerated filer or Non-accelerated filer.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,003 · 100%
Distinct
0 · 0% of valid

shell_company

boolean

True when the cover page checks the shell company box.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,003 · 100%
Distinct
0 · 0% of valid

well_known_seasoned_issuer

boolean

True when the cover page checks well-known seasoned issuer.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,003 · 100%
Distinct
0 · 0% of valid

smaller_reporting_company

boolean

True when the cover page checks smaller reporting company.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,003 · 100%
Distinct
0 · 0% of valid

emerging_growth_company

boolean

True when the cover page checks emerging growth company.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,003 · 100%
Distinct
0 · 0% of valid

icfr_auditor_attestation

boolean

True when the auditor attested to internal control over financial reporting, as tagged.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,003 · 100%
Distinct
0 · 0% of valid

public_float_usd

decimal

Market value of shares held by non-affiliates, in US dollars, as tagged on the cover page (dei:EntityPublicFloat, scaled).

0 distinct values, no chart

Valid
0 · 0%
Missing
2,003 · 100%
Distinct
0 · 0% of valid

shares_outstanding

integer

Common shares outstanding as tagged on the cover page (first class when several).

0 distinct values, no chart

Valid
0 · 0%
Missing
2,003 · 100%
Distinct
0 · 0% of valid

incorporation_code

string

State or country of incorporation as tagged, such as DE or CA.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,003 · 100%
Distinct
0 · 0% of valid

hq_city

string

City of the principal executive offices, as tagged.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,003 · 100%
Distinct
0 · 0% of valid

hq_state

string

State or province of the principal executive offices, as tagged.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,003 · 100%
Distinct
0 · 0% of valid

going_concern_doubt

boolean

True when the report states substantial doubt about the company's ability to continue as a going concern (rule on the full text).

  • false94%
  • true6%
Valid
1,321 · 66%
Missing
682 · 34%
Distinct
2 · 0.2% of valid

material_weakness

boolean

True when the report says a material weakness was identified or internal control was not effective (rule on the full text).

  • false93%
  • true7%
Valid
1,321 · 66%
Missing
682 · 34%
Distinct
2 · 0.2% of valid

ai_mentions

integer

Times the report says artificial intelligence, machine learning, generative AI or AI.

Histogram: 0 to 6, 1,319; 7 to 13, 1; 14 to 20, 0; 21 to 27, 0; 28 to 34, 0; 35 to 41, 0; 42 to 48, 0; 49 to 55, 1
055
Valid
1,321 · 66%
Missing
682 · 34%
Distinct
6 · 0.5% of valid
Min
0
25%
0
Median
0
75%
0
Max
55

tariff_mentions

integer

Times the report says tariff or tariffs.

Histogram: 0 to 8, 1,297; 9 to 16, 12; 17 to 25, 6; 26 to 33, 2; 34 to 42, 0; 43 to 50, 2; 51 to 59, 1; 60 to 67, 1
067
Valid
1,321 · 66%
Missing
682 · 34%
Distinct
27 · 2% of valid
Min
0
25%
0
Median
0
75%
1
Max
67

doc_chars

integer

Characters of text in the main document.

Histogram: 3333 to 116319, 160; 116320 to 229306, 329; 229307 to 342293, 464; 342294 to 455280, 268; 455281 to 568267, 65; 568268 to 681254, 17; 681255 to 794241, 10; 794242 to 907227, 8
3333907227
Valid
1,321 · 66%
Missing
682 · 34%
Distinct
1,318 · 99.8% of valid
Min
3333
25%
187188
Median
273181
75%
352193
Max
907227

sections_found

integer

How many standard Items were found in the document.

Histogram: 0 to 1, 729; 2 to 2, 21; 3 to 3, 29; 4 to 4, 43; 5 to 6, 360; 7 to 7, 333; 8 to 8, 483; 9 to 9, 5
09
Valid
2,003 · 100%
Missing
0 · 0%
Distinct
10 · 0.5% of valid
Min
0
25%
0
Median
6
75%
7
Max
9

business_chars

integer

Characters in Item 1 Business.

Histogram: 681 to 71807, 1,039; 71808 to 142934, 141; 142935 to 214061, 18; 214062 to 285188, 5; 285189 to 356315, 2; 356316 to 427442, 1; 427443 to 498569, 2; 498570 to 569695, 1
681569695
Valid
1,209 · 60.4%
Missing
794 · 39.6%
Distinct
1,198 · 99.1% of valid
Min
681
25%
22747
Median
36015
75%
54599
Max
569695

risk_factors_chars

integer

Characters in Item 1A Risk Factors; a long section means many risks.

Histogram: 493 to 33823, 612; 33824 to 67154, 410; 67155 to 100485, 98; 100486 to 133816, 17; 133817 to 167147, 3; 167148 to 200478, 2; 200479 to 233809, 0; 233810 to 267140, 1
493267140
Valid
1,143 · 57.1%
Missing
860 · 42.9%
Distinct
1,131 · 99% of valid
Min
493
25%
19638
Median
31865
75%
46980
Max
267140

cybersecurity_chars

integer

Characters in Item 1C Cybersecurity.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,003 · 100%
Distinct
0 · 0% of valid

legal_proceedings_chars

integer

Characters in Item 3 Legal Proceedings, when long enough to stand alone.

Histogram: 400 to 32277, 877; 32278 to 64155, 3; 64156 to 96033, 2; 96034 to 127910, 0; 127911 to 159788, 0; 159789 to 191666, 0; 191667 to 223544, 0; 223545 to 255421, 1
400255421
Valid
883 · 44.1%
Missing
1,120 · 55.9%
Distinct
780 · 88.3% of valid
Min
400
25%
661
Median
2074
75%
5551
Max
255421

mdna_chars

integer

Characters in Item 7 Management's Discussion and Analysis.

Histogram: 402 to 52374, 486; 52375 to 104347, 513; 104348 to 156320, 106; 156321 to 208293, 19; 208294 to 260266, 7; 260267 to 312239, 4; 312240 to 364212, 1; 364213 to 416185, 1
402416185
Valid
1,137 · 56.8%
Missing
866 · 43.2%
Distinct
1,126 · 99% of valid
Min
402
25%
37672
Median
58482
75%
81746
Max
416185

business_description

string

What the company does, in its own words, one to three sentences, as our extraction model found it verbatim in Item 1 Business.

1,161 distinct values, no chart

Valid
1,163 · 58.1%
Missing
840 · 41.9%
Distinct
1,161 · 99.8% of valid

products

string

The main products or services the company sells, comma separated, as our extraction model found it verbatim in Item 1 Business.

831 distinct values, no chart

Valid
855 · 42.7%
Missing
1,148 · 57.3%
Distinct
831 · 97.2% of valid

segments

string

The reportable business segments, comma separated, as our extraction model found it verbatim in Item 1 Business.

786 distinct values, no chart

Valid
790 · 39.4%
Missing
1,213 · 60.6%
Distinct
786 · 99.5% of valid

major_customers

string

Customers the text names as major, significant or accounting for a stated share of revenue, as our extraction model found it verbatim in Item 1 Business.

614 distinct values, no chart

Valid
621 · 31%
Missing
1,382 · 69%
Distinct
614 · 98.9% of valid

customer_concentration

string

The sentence stating what share of revenue comes from the largest customer or customers, as our extraction model found it verbatim in Item 1 Business.

518 distinct values, no chart

Valid
521 · 26%
Missing
1,482 · 74%
Distinct
518 · 99.4% of valid

competitors

string

Competitor companies the text names, comma separated, as our extraction model found it verbatim in Item 1 Business.

918 distinct values, no chart

Valid
923 · 46.1%
Missing
1,080 · 53.9%
Distinct
918 · 99.5% of valid

employees_as_of

string

The date the employee count is stated as of, as our extraction model found it verbatim in Item 1 Business.

  • December 31, 200952%
  • June 30, 20104%
  • September 30, 20103%
  • Other (130)
Valid
918 · 45.8%
Missing
1,085 · 54.2%
Distinct
142 · 15.5% of valid

headquarters

string

The city and state or country of the headquarters or principal executive offices, as our extraction model found it verbatim in Item 1 Business.

674 distinct values, no chart

Valid
701 · 35%
Missing
1,302 · 65%
Distinct
674 · 96.1% of valid

markets

string

The geographic markets, regions or countries where the company operates or sells, comma separated, as our extraction model found it verbatim in Item 1 Business.

817 distinct values, no chart

Valid
889 · 44.4%
Missing
1,114 · 55.6%
Distinct
817 · 91.9% of valid

manufacturing

string

How or where products are made: own plants and their locations, or contract manufacturers named, as our extraction model found it verbatim in Item 1 Business.

465 distinct values, no chart

Valid
465 · 23.2%
Missing
1,538 · 76.8%
Distinct
465 · 100% of valid

key_suppliers

string

Suppliers the text names as key, sole or single-source, as our extraction model found it verbatim in Item 1 Business.

402 distinct values, no chart

Valid
402 · 20.1%
Missing
1,601 · 79.9%
Distinct
402 · 100% of valid

backlog

string

The stated backlog or remaining performance obligations amount, with its date, as our extraction model found it verbatim in Item 1 Business.

312 distinct values, no chart

Valid
314 · 15.7%
Missing
1,689 · 84.3%
Distinct
312 · 99.4% of valid

regulators

string

Government agencies or regulators named as regulating the business, comma separated, as our extraction model found it verbatim in Item 1 Business.

666 distinct values, no chart

Valid
698 · 34.8%
Missing
1,305 · 65.2%
Distinct
666 · 95.4% of valid

website

string

The company's own website address, as our extraction model found it verbatim in Item 1 Business.

907 distinct values, no chart

Valid
923 · 46.1%
Missing
1,080 · 53.9%
Distinct
907 · 98.3% of valid

employees_text

string

The employee count as written, as our extraction model found it verbatim in Item 1 Business.

999 distinct values, no chart

Valid
1,025 · 51.2%
Missing
978 · 48.8%
Distinct
999 · 97.5% of valid

employees_count

integer

Number of employees parsed from employees_text.

Histogram: 1 to 538000, 902; 538001 to 1076000, 0; 1076001 to 1614000, 0; 1614001 to 2152000, 1; 2152001 to 2690000, 0; 2690001 to 3228000, 0; 3228001 to 3766000, 0; 3766001 to 4304000, 1
14304000
Valid
904 · 45.1%
Missing
1,099 · 54.9%
Distinct
668 · 73.9% of valid
Min
1
25%
166
Median
982
75%
5200
Max
4304000

founded_year

integer

Year founded or incorporated, parsed from the extraction model's answer.

Histogram: 1784 to 1812, 5; 1813 to 1840, 6; 1841 to 1869, 11; 1870 to 1897, 40; 1898 to 1925, 62; 1926 to 1954, 85; 1955 to 1982, 263; 1983 to 2010, 536
17842010
Valid
1,008 · 50.3%
Missing
995 · 49.7%
Distinct
151 · 15% of valid
Min
1784
25%
1962
Median
1984
75%
1996
Max
2010

extraction_model

string

The extraction model pin that answered.

  • mostlyright/nuextract3-web-g-fp8-24086297100%
Valid
1,192 · 59.5%
Missing
811 · 40.5%
Distinct
1 · 0.1% of valid

sector

string

Which GICS sector best describes the company's main business? One of: Information Technology, Health Care, Financials, Real Estate, Energy, Utilities, Materials, Industrials, Consumer Discretionary, Consumer Staples, Communication Services, none fits; a label from a small classification model reading the report's own text, with its probability beside it.

  • Financials19%
  • Industrials19%
  • Health Care13%
Valid
1,209 · 60.4%
Missing
794 · 39.6%
Distinct
12 · 1% of valid

sector_confidence

decimal

Probability the classification model gave the sector label, 0 to 1.

Histogram: 0.21990000000000001 to 0.31490000000000001, 10; 0.31490000000000001 to 0.40990000000000004, 46; 0.40990000000000004 to 0.50490000000000002, 86; 0.50490000000000002 to 0.59989999999999999, 104; 0.59989999999999999 to 0.69489999999999996, 122; 0.69489999999999996 to 0.78990000000000005, 142; 0.78990000000000005 to 0.88490000000000002, 262; 0.88490000000000002 to 0.97989999999999999, 437
0.21990.9799
Valid
1,209 · 60.4%
Missing
794 · 39.6%
Distinct
1,055 · 87.3% of valid
Min
0.2199
25%
0.6402
Median
0.8377
75%
0.9161
Max
0.9799

business_model

string

Who does the company mainly sell to? One of: businesses, consumers, both businesses and consumers, governments, none fits; a label from a small classification model reading the report's own text, with its probability beside it.

  • businesses58%
  • both businesses and consumers25%
  • consumers12%
Valid
1,209 · 60.4%
Missing
794 · 39.6%
Distinct
5 · 0.4% of valid

business_model_confidence

decimal

Probability the classification model gave the business_model label, 0 to 1.

Histogram: 0.25729999999999997 to 0.34754999999999997, 21; 0.34754999999999997 to 0.43779999999999997, 50; 0.43779999999999997 to 0.52804999999999991, 118; 0.52804999999999991 to 0.61829999999999996, 103; 0.61829999999999996 to 0.70855000000000001, 125; 0.70855000000000001 to 0.79879999999999995, 174; 0.79879999999999995 to 0.88905000000000001, 258; 0.88905000000000001 to 0.97929999999999995, 360
0.25730.9793
Valid
1,209 · 60.4%
Missing
794 · 39.6%
Distinct
1,070 · 88.5% of valid
Min
0.2573
25%
0.6245
Median
0.8017
75%
0.9031
Max
0.9793

revenue_model

string

How does the company mainly earn its revenue? One of: product sales, subscriptions or recurring fees, services or contracts, transaction or usage fees, interest and lending, insurance premiums, rent from property, royalties or licensing, advertising, selling commodities it produces, none fits; a label from a small classification model reading the report's own text, with its probability beside it.

  • product sales41%
  • services or contracts16%
  • interest and lending13%
Valid
1,209 · 60.4%
Missing
794 · 39.6%
Distinct
11 · 0.9% of valid

revenue_model_confidence

decimal

Probability the classification model gave the revenue_model label, 0 to 1.

Histogram: 0.21310000000000001 to 0.30753750000000002, 40; 0.30753750000000002 to 0.40197500000000003, 76; 0.40197500000000003 to 0.49641250000000003, 92; 0.49641250000000003 to 0.5908500000000001, 105; 0.5908500000000001 to 0.68528750000000005, 118; 0.68528750000000005 to 0.779725, 225; 0.779725 to 0.87416250000000018, 270; 0.87416250000000018 to 0.96860000000000013, 283
0.21310.9686
Valid
1,209 · 60.4%
Missing
794 · 39.6%
Distinct
1,070 · 88.5% of valid
Min
0.2131
25%
0.5839
Median
0.7597
75%
0.8672
Max
0.9686

ai_exposure

string

How central is artificial intelligence to the company's business? One of: core, significant, peripheral, none; a label from a small classification model reading the report's own text, with its probability beside it.

  • none98%
  • peripheral2%
  • significant0%
Valid
1,209 · 60.4%
Missing
794 · 39.6%
Distinct
3 · 0.2% of valid

ai_exposure_confidence

decimal

Probability the classification model gave the ai_exposure label, 0 to 1.

Histogram: 0.37790000000000001 to 0.45423750000000002, 8; 0.45423750000000002 to 0.53057500000000002, 12; 0.53057500000000002 to 0.60691249999999997, 14; 0.60691249999999997 to 0.68325000000000002, 16; 0.68325000000000002 to 0.75958750000000008, 23; 0.75958750000000008 to 0.83592500000000003, 33; 0.83592500000000003 to 0.91226250000000009, 67; 0.91226250000000009 to 0.98860000000000003, 1,036
0.37790.9886
Valid
1,209 · 60.4%
Missing
794 · 39.6%
Distinct
595 · 49.2% of valid
Min
0.3779
25%
0.9451
Median
0.9680
75%
0.9751
Max
0.9886

company_type

string

What kind of company is this? One of: operating company, bank or lender, insurer, real estate investment trust, fund, trust or business development company, blank-check or shell company, clinical-stage biotech, asset manager or broker, utility, none fits; a label from a small classification model reading the report's own text, with its probability beside it.

  • operating company63%
  • bank or lender11%
  • clinical-stage biotech5%
Valid
1,209 · 60.4%
Missing
794 · 39.6%
Distinct
10 · 0.8% of valid

company_type_confidence

decimal

Probability the classification model gave the company_type label, 0 to 1.

Histogram: 0.22439999999999999 to 0.31840000000000002, 9; 0.31840000000000002 to 0.41239999999999999, 32; 0.41239999999999999 to 0.50639999999999996, 59; 0.50639999999999996 to 0.60040000000000004, 78; 0.60040000000000004 to 0.69439999999999991, 131; 0.69439999999999991 to 0.78839999999999999, 258; 0.78839999999999999 to 0.88240000000000007, 387; 0.88240000000000007 to 0.97639999999999993, 255
0.22440.9764
Valid
1,209 · 60.4%
Missing
794 · 39.6%
Distinct
1,062 · 87.8% of valid
Min
0.2244
25%
0.6890
Median
0.7987
75%
0.8702
Max
0.9764

geographic_focus

string

Where does the company mainly do business? One of: mostly the United States, global, mostly outside the United States, none fits; a label from a small classification model reading the report's own text, with its probability beside it.

  • mostly the United States59%
  • global36%
  • mostly outside the United States5%
Valid
1,209 · 60.4%
Missing
794 · 39.6%
Distinct
4 · 0.3% of valid

geographic_focus_confidence

decimal

Probability the classification model gave the geographic_focus label, 0 to 1.

Histogram: 0.32750000000000001 to 0.40908749999999999, 11; 0.40908749999999999 to 0.49067499999999997, 29; 0.49067499999999997 to 0.57226250000000001, 84; 0.57226250000000001 to 0.65385000000000004, 76; 0.65385000000000004 to 0.73543749999999997, 97; 0.73543749999999997 to 0.817025, 116; 0.817025 to 0.89861249999999993, 242; 0.89861249999999993 to 0.98019999999999996, 554
0.32750.9802
Valid
1,209 · 60.4%
Missing
794 · 39.6%
Distinct
1,009 · 83.5% of valid
Min
0.3275
25%
0.7413
Median
0.8889
75%
0.9416
Max
0.9802

classification_model

string

The classification model pin that answered.

  • cloudflare/clef-flash-fp8-17f0b0ad100%
Valid
1,209 · 60.4%
Missing
794 · 39.6%
Distinct
1 · 0.1% of valid

top_risk_theme

string

The theme Item 1A Risk Factors stresses most. One of: competition, regulation and government policy, economy and demand, supply chain and manufacturing, cybersecurity and technology, liquidity, debt or going concern, litigation, customer concentration, interest rates and credit, commodity prices, geopolitics and international operations, clinical trials and product approval, key people, intellectual property, none fits; a label from a small classification model reading the report's own text, with its probability beside it.

  • economy and demand36%
  • liquidity, debt or going concern15%
  • regulation and government policy15%
  • Other (3)
Valid
1,142 · 57%
Missing
861 · 43%
Distinct
15 · 1.3% of valid

top_risk_theme_confidence

decimal

Probability of the top_risk_theme label, 0 to 1.

Histogram: 0.17549999999999999 to 0.26822499999999999, 83; 0.26822499999999999 to 0.36094999999999999, 221; 0.36094999999999999 to 0.45367499999999999, 274; 0.45367499999999999 to 0.5464, 218; 0.5464 to 0.63912499999999994, 127; 0.63912499999999994 to 0.73185, 111; 0.73185 to 0.82457500000000006, 72; 0.82457500000000006 to 0.9173, 36
0.17550.9173
Valid
1,142 · 57%
Missing
861 · 43%
Distinct
1,025 · 89.8% of valid
Min
0.1755
25%
0.3506
Median
0.4501
75%
0.5876
Max
0.9173

tariff_risk

boolean

True when the classification model judged that the text says tariffs or trade restrictions are a risk to the company (probability at least 0.5).

  • false70%
  • true30%
Valid
1,142 · 57%
Missing
861 · 43%
Distinct
2 · 0.2% of valid

tariff_risk_probability

decimal

Probability the classification model gave tariff_risk, 0 to 1.

Histogram: 0.0061000000000000004 to 0.12740000000000001, 731; 0.12740000000000001 to 0.2487, 34; 0.2487 to 0.37, 21; 0.37 to 0.49130000000000001, 12; 0.49130000000000001 to 0.61260000000000003, 14; 0.61260000000000003 to 0.7339, 19; 0.7339 to 0.85520000000000007, 74; 0.85520000000000007 to 0.97650000000000003, 237
0.00610.9765
Valid
1,142 · 57%
Missing
861 · 43%
Distinct
616 · 53.9% of valid
Min
0.0061
25%
0.0129
Median
0.0331
75%
0.7909
Max
0.9765

ai_risk

boolean

True when the classification model judged that the text says artificial intelligence is a risk to the company, as a competitive threat, a regulatory issue or a risk of its own use of AI (probability at least 0.5).

  • false100%
Valid
1,142 · 57%
Missing
861 · 43%
Distinct
1 · 0.1% of valid

ai_risk_probability

decimal

Probability the classification model gave ai_risk, 0 to 1.

Histogram: 0.0071000000000000004 to 0.010987500000000001, 406; 0.010987500000000001 to 0.014874999999999999, 496; 0.014874999999999999 to 0.018762500000000001, 151; 0.018762500000000001 to 0.022649999999999997, 57; 0.022649999999999997 to 0.026537499999999999, 17; 0.026537499999999999 to 0.030425000000000001, 10; 0.030425000000000001 to 0.034312499999999996, 1; 0.034312499999999996 to 0.038199999999999998, 4
0.00710.0382
Valid
1,142 · 57%
Missing
861 · 43%
Distinct
146 · 12.8% of valid
Min
0.0071
25%
0.0103
Median
0.0117
75%
0.0141
Max
0.0382

going_concern_risk

boolean

True when the classification model judged that the text says there is substantial doubt about the company's ability to continue as a going concern (probability at least 0.5).

  • false91%
  • true9%
Valid
1,142 · 57%
Missing
861 · 43%
Distinct
2 · 0.2% of valid

going_concern_risk_probability

decimal

Probability the classification model gave going_concern_risk, 0 to 1.

Histogram: 0.0082000000000000007 to 0.12947500000000001, 956; 0.12947500000000001 to 0.25075000000000003, 55; 0.25075000000000003 to 0.37202499999999999, 15; 0.37202499999999999 to 0.49330000000000002, 16; 0.49330000000000002 to 0.61457499999999998, 16; 0.61457499999999998 to 0.73585, 12; 0.73585 to 0.85712500000000003, 9; 0.85712500000000003 to 0.97840000000000005, 63
0.00820.9784
Valid
1,142 · 57%
Missing
861 · 43%
Distinct
518 · 45.4% of valid
Min
0.0082
25%
0.0177
Median
0.0284
75%
0.0666
Max
0.9784

business_excerpt

string

The first 1,200 characters of Item 1 Business, verbatim.

1,208 distinct values, no chart

Valid
1,209 · 60.4%
Missing
794 · 39.6%
Distinct
1,208 · 99.9% of valid

search_text

string

Ticker, name, business description, products, segments and sector folded into one column for search.

1,996 distinct values, no chart

Valid
2,003 · 100%
Missing
0 · 0%
Distinct
1,996 · 99.7% of valid

Support

Talk to Mostly Right

Loading chat…