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Data viewTableSummary
Updated

3.9 MB across 12 parts, newest sealed 1 November 2026 at 01:38 UTC.

The first build wrote 12 parts and 2,426 rows.

ONE_ROW_PER_REPORT passed.

AUDITOR_MOSTLY_TAGGED passed.

DESCRIPTIONS_MOSTLY_FOUND passed.

CONFIDENCE_IS_PROBABILITY passed.

ABOUT_3000_REPORTS passed.

accession

string

The SEC accession number of the annual report.

2,426 distinct values, no chart

Valid
2,426 · 100%
Missing
0 · 0%
Distinct
2,426 · 100% of valid

cik

integer

SEC CIK of the filer.

Histogram: 1750 to 207230, 416; 207231 to 412710, 69; 412711 to 618190, 0; 618191 to 823670, 280; 823671 to 1029150, 468; 1029151 to 1234630, 411; 1234631 to 1440110, 410; 1440111 to 1645590, 372
17501645590
Valid
2,426 · 100%
Missing
0 · 0%
Distinct
2,414 · 99.5% of valid
Min
1750
25%
746515
Median
1020859
75%
1345126
Max
1645590

listed_cik

integer

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

Histogram: 1750 to 266446, 418; 266447 to 531143, 64; 531144 to 795839, 211; 795840 to 1060536, 644; 1060537 to 1325233, 417; 1325234 to 1589929, 570; 1589930 to 1854626, 91; 1854627 to 2119322, 11
17502119322
Valid
2,426 · 100%
Missing
0 · 0%
Distinct
2,414 · 99.5% of valid
Min
1750
25%
748592
Median
1023128
75%
1356093
Max
2119322

ticker

string

Primary ticker, such as AAPL.

2,414 distinct values, no chart

Valid
2,426 · 100%
Missing
0 · 0%
Distinct
2,414 · 99.5% of valid

company_name

string

Company name on the EDGAR index.

2,415 distinct values, no chart

Valid
2,426 · 100%
Missing
0 · 0%
Distinct
2,415 · 99.5% of valid

form

string

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

  • 10-K100%
  • 10-KT0%
Valid
2,426 · 100%
Missing
0 · 0%
Distinct
2 · 0.1% of valid

filed_date

date

Date the report was filed.

Timeline per month: 2015-01-01, 41; 2015-02-01, 881; 2015-03-01, 944; 2015-04-01, 76; 2015-05-01, 51; 2015-06-01, 51; 2015-07-01, 43; 2015-08-01, 69; 2015-09-01, 78; 2015-10-01, 30; 2015-11-01, 85; 2015-12-01, 77
2015-01-012015-12-01

per month

Valid
2,426 · 100%
Missing
0 · 0%
Distinct
219 · 9% 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
2,426 · 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
2,426 · 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
2,426 · 100%
Distinct
0 · 0% of valid

doc_url

string

Main document on EDGAR.

2,425 distinct values, no chart

Valid
2,425 · 100%
Missing
1 · 0%
Distinct
2,425 · 100% of valid

index_url

string

Filing index page on EDGAR.

2,426 distinct values, no chart

Valid
2,426 · 100%
Missing
0 · 0%
Distinct
2,426 · 100% of valid

doc_status

string

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

  • read89%
  • document not read10%
  • index not read0%
Valid
2,426 · 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
2,426 · 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
2,426 · 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
2,426 · 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
2,426 · 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
2,426 · 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
2,426 · 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
2,426 · 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
2,426 · 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
2,426 · 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
2,426 · 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
2,426 · 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
2,426 · 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
2,426 · 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
2,426 · 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
2,426 · 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).

  • false75%
  • true25%
Valid
2,171 · 89.5%
Missing
255 · 10.5%
Distinct
2 · 0.1% 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).

  • false88%
  • true12%
Valid
2,171 · 89.5%
Missing
255 · 10.5%
Distinct
2 · 0.1% of valid

ai_mentions

integer

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

Histogram: 0 to 3, 2,160; 4 to 6, 3; 7 to 10, 7; 11 to 13, 0; 14 to 16, 0; 17 to 20, 0; 21 to 23, 0; 24 to 26, 1
026
Valid
2,171 · 89.5%
Missing
255 · 10.5%
Distinct
8 · 0.4% of valid
Min
0
25%
0
Median
0
75%
0
Max
26

tariff_mentions

integer

Times the report says tariff or tariffs.

Histogram: 0 to 16, 2,152; 17 to 32, 11; 33 to 49, 6; 50 to 65, 1; 66 to 81, 0; 82 to 98, 0; 99 to 114, 0; 115 to 130, 1
0130
Valid
2,171 · 89.5%
Missing
255 · 10.5%
Distinct
32 · 1.5% of valid
Min
0
25%
0
Median
0
75%
1
Max
130

doc_chars

integer

Characters of text in the main document.

Histogram: 9695 to 131699, 133; 131700 to 253704, 462; 253705 to 375709, 832; 375710 to 497713, 516; 497714 to 619718, 158; 619719 to 741723, 43; 741724 to 863728, 22; 863729 to 985732, 5
9695985732
Valid
2,171 · 89.5%
Missing
255 · 10.5%
Distinct
2,162 · 99.6% of valid
Min
9695
25%
244575
Median
328771
75%
412094
Max
985732

sections_found

integer

How many standard Items were found in the document.

Histogram: 0 to 1, 300; 2 to 2, 24; 3 to 3, 28; 4 to 4, 52; 5 to 6, 510; 7 to 7, 738; 8 to 8, 767; 9 to 9, 7
09
Valid
2,426 · 100%
Missing
0 · 0%
Distinct
10 · 0.4% of valid
Min
0
25%
6
Median
7
75%
8
Max
9

business_chars

integer

Characters in Item 1 Business.

Histogram: 710 to 102202, 1,845; 102203 to 203694, 158; 203695 to 305186, 20; 305187 to 406678, 7; 406679 to 508170, 5; 508171 to 609662, 2; 609663 to 711154, 2; 711155 to 812646, 1
710812646
Valid
2,040 · 84.1%
Missing
386 · 15.9%
Distinct
2,017 · 98.9% of valid
Min
710
25%
26635
Median
40972
75%
65059
Max
812646

risk_factors_chars

integer

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

Histogram: 568 to 41248, 820; 41249 to 81929, 762; 81930 to 122610, 240; 122611 to 163291, 88; 163292 to 203972, 26; 203973 to 244653, 7; 244654 to 285334, 4; 285335 to 326015, 1
568326015
Valid
1,948 · 80.3%
Missing
478 · 19.7%
Distinct
1,926 · 98.9% of valid
Min
568
25%
30729
Median
47336
75%
71392
Max
326015

cybersecurity_chars

integer

Characters in Item 1C Cybersecurity.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,426 · 100%
Distinct
0 · 0% of valid

legal_proceedings_chars

integer

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

Histogram: 415 to 24012, 1,178; 24013 to 47610, 13; 47611 to 71208, 1; 71209 to 94805, 1; 94806 to 118403, 1; 118404 to 142001, 1; 142002 to 165599, 1; 165600 to 189196, 1
415189196
Valid
1,197 · 49.3%
Missing
1,229 · 50.7%
Distinct
979 · 81.8% of valid
Min
415
25%
686
Median
1525
75%
3687
Max
189196

mdna_chars

integer

Characters in Item 7 Management's Discussion and Analysis.

Histogram: 405 to 50828, 665; 50829 to 101252, 966; 101253 to 151676, 252; 151677 to 202100, 52; 202101 to 252524, 7; 252525 to 302948, 5; 302949 to 353372, 1; 353373 to 403796, 1
405403796
Valid
1,949 · 80.3%
Missing
477 · 19.7%
Distinct
1,925 · 98.8% of valid
Min
405
25%
43268
Median
64012
75%
87565
Max
403796

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.

1,943 distinct values, no chart

Valid
1,945 · 80.2%
Missing
481 · 19.8%
Distinct
1,943 · 99.9% 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.

1,396 distinct values, no chart

Valid
1,433 · 59.1%
Missing
993 · 40.9%
Distinct
1,396 · 97.4% of valid

segments

string

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

1,389 distinct values, no chart

Valid
1,404 · 57.9%
Missing
1,022 · 42.1%
Distinct
1,389 · 98.9% 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.

1,025 distinct values, no chart

Valid
1,028 · 42.4%
Missing
1,398 · 57.6%
Distinct
1,025 · 99.7% 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.

872 distinct values, no chart

Valid
874 · 36%
Missing
1,552 · 64%
Distinct
872 · 99.8% of valid

competitors

string

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

1,546 distinct values, no chart

Valid
1,550 · 63.9%
Missing
876 · 36.1%
Distinct
1,546 · 99.7% 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, 201455%
  • June 30, 20154%
  • January 31, 20154%
  • Other (165)
Valid
1,489 · 61.4%
Missing
937 · 38.6%
Distinct
177 · 11.9% 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.

1,066 distinct values, no chart

Valid
1,185 · 48.8%
Missing
1,241 · 51.2%
Distinct
1,066 · 90% 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.

1,382 distinct values, no chart

Valid
1,511 · 62.3%
Missing
915 · 37.7%
Distinct
1,382 · 91.5% 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.

757 distinct values, no chart

Valid
758 · 31.2%
Missing
1,668 · 68.8%
Distinct
757 · 99.9% 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.

653 distinct values, no chart

Valid
656 · 27%
Missing
1,770 · 73%
Distinct
653 · 99.5% 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.

478 distinct values, no chart

Valid
479 · 19.7%
Missing
1,947 · 80.3%
Distinct
478 · 99.8% 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.

1,131 distinct values, no chart

Valid
1,204 · 49.6%
Missing
1,222 · 50.4%
Distinct
1,131 · 93.9% of valid

website

string

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

1,473 distinct values, no chart

Valid
1,504 · 62%
Missing
922 · 38%
Distinct
1,473 · 97.9% of valid

employees_text

string

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

1,606 distinct values, no chart

Valid
1,645 · 67.8%
Missing
781 · 32.2%
Distinct
1,606 · 97.6% of valid

employees_count

integer

Number of employees parsed from employees_text.

Histogram: 2 to 830251, 1,466; 830252 to 1660501, 1; 1660502 to 2490751, 2; 2490752 to 3321001, 0; 3321002 to 4151251, 0; 4151252 to 4981501, 0; 4981502 to 5811751, 0; 5811752 to 6642000, 1
26642000
Valid
1,470 · 60.6%
Missing
956 · 39.4%
Distinct
1,024 · 69.7% of valid
Min
2
25%
268
Median
1750
75%
7900
Max
6642000

founded_year

integer

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

Histogram: 1784 to 1812, 5; 1813 to 1841, 4; 1842 to 1870, 23; 1871 to 1899, 59; 1900 to 1928, 113; 1929 to 1957, 134; 1958 to 1986, 470; 1987 to 2014, 830
17842014
Valid
1,638 · 67.5%
Missing
788 · 32.5%
Distinct
165 · 10.1% of valid
Min
1784
25%
1966
Median
1987
75%
1999
Max
2014

extraction_model

string

The extraction model pin that answered.

  • mostlyright/nuextract3-web-g-fp8-24086297100%
Valid
1,976 · 81.5%
Missing
450 · 18.5%
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.

  • Industrials18%
  • Financials18%
  • Health Care15%
Valid
2,040 · 84.1%
Missing
386 · 15.9%
Distinct
12 · 0.6% of valid

sector_confidence

decimal

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

Histogram: 0.21560000000000001 to 0.31106250000000002, 17; 0.31106250000000002 to 0.40652500000000003, 69; 0.40652500000000003 to 0.50198750000000003, 123; 0.50198750000000003 to 0.59745000000000004, 195; 0.59745000000000004 to 0.69291250000000004, 200; 0.69291250000000004 to 0.78837499999999994, 225; 0.78837499999999994 to 0.88383749999999994, 432; 0.88383749999999994 to 0.97929999999999995, 779
0.21560.9793
Valid
2,040 · 84.1%
Missing
386 · 15.9%
Distinct
1,626 · 79.7% of valid
Min
0.2156
25%
0.6522
Median
0.8428
75%
0.9224
Max
0.9793

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.

  • businesses61%
  • both businesses and consumers23%
  • consumers11%
Valid
2,040 · 84.1%
Missing
386 · 15.9%
Distinct
5 · 0.2% of valid

business_model_confidence

decimal

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

Histogram: 0.23999999999999999 to 0.33232499999999998, 49; 0.33232499999999998 to 0.42464999999999997, 73; 0.42464999999999997 to 0.51697499999999996, 171; 0.51697499999999996 to 0.60929999999999995, 189; 0.60929999999999995 to 0.70162499999999994, 198; 0.70162499999999994 to 0.79395000000000004, 282; 0.79395000000000004 to 0.88627500000000003, 437; 0.88627500000000003 to 0.97860000000000003, 641
0.24000.9786
Valid
2,040 · 84.1%
Missing
386 · 15.9%
Distinct
1,667 · 81.7% of valid
Min
0.2400
25%
0.6198
Median
0.8108
75%
0.9048
Max
0.9786

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 sales43%
  • services or contracts16%
  • interest and lending11%
Valid
2,040 · 84.1%
Missing
386 · 15.9%
Distinct
11 · 0.5% of valid

revenue_model_confidence

decimal

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

Histogram: 0.22570000000000001 to 0.3182625, 49; 0.3182625 to 0.410825, 142; 0.410825 to 0.50338749999999999, 168; 0.50338749999999999 to 0.59594999999999998, 160; 0.59594999999999998 to 0.68851249999999997, 214; 0.68851249999999997 to 0.78107499999999996, 349; 0.78107499999999996 to 0.87363749999999996, 507; 0.87363749999999996 to 0.96619999999999995, 451
0.22570.9662
Valid
2,040 · 84.1%
Missing
386 · 15.9%
Distinct
1,716 · 84.1% of valid
Min
0.2257
25%
0.5902
Median
0.7647
75%
0.8627
Max
0.9662

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.

  • none96%
  • peripheral4%
  • significant0%
Valid
2,040 · 84.1%
Missing
386 · 15.9%
Distinct
3 · 0.1% of valid

ai_exposure_confidence

decimal

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

Histogram: 0.36530000000000001 to 0.44345000000000001, 10; 0.44345000000000001 to 0.52160000000000006, 42; 0.52160000000000006 to 0.59975000000000001, 41; 0.59975000000000001 to 0.67789999999999995, 52; 0.67789999999999995 to 0.75605, 64; 0.75605 to 0.83420000000000005, 77; 0.83420000000000005 to 0.91234999999999999, 174; 0.91234999999999999 to 0.99049999999999994, 1,580
0.36530.9905
Valid
2,040 · 84.1%
Missing
386 · 15.9%
Distinct
942 · 46.2% of valid
Min
0.3653
25%
0.9246
Median
0.9641
75%
0.9736
Max
0.9905

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 company65%
  • bank or lender9%
  • clinical-stage biotech7%
Valid
2,040 · 84.1%
Missing
386 · 15.9%
Distinct
10 · 0.5% of valid

company_type_confidence

decimal

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

Histogram: 0.24440000000000001 to 0.33598749999999999, 16; 0.33598749999999999 to 0.42757499999999998, 60; 0.42757499999999998 to 0.51916249999999997, 123; 0.51916249999999997 to 0.6107499999999999, 177; 0.6107499999999999 to 0.70233749999999995, 226; 0.70233749999999995 to 0.79392499999999999, 461; 0.79392499999999999 to 0.88551249999999992, 601; 0.88551249999999992 to 0.97709999999999986, 376
0.24440.9771
Valid
2,040 · 84.1%
Missing
386 · 15.9%
Distinct
1,640 · 80.4% of valid
Min
0.2444
25%
0.6689
Median
0.7870
75%
0.8604
Max
0.9771

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 States57%
  • global39%
  • mostly outside the United States4%
Valid
2,040 · 84.1%
Missing
386 · 15.9%
Distinct
4 · 0.2% of valid

geographic_focus_confidence

decimal

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

Histogram: 0.29060000000000002 to 0.37717500000000004, 11; 0.37717500000000004 to 0.46375, 30; 0.46375 to 0.55032499999999995, 117; 0.55032499999999995 to 0.63690000000000002, 139; 0.63690000000000002 to 0.72347499999999987, 148; 0.72347499999999987 to 0.81004999999999994, 215; 0.81004999999999994 to 0.89662500000000001, 388; 0.89662500000000001 to 0.98319999999999985, 992
0.29060.9832
Valid
2,040 · 84.1%
Missing
386 · 15.9%
Distinct
1,487 · 72.9% of valid
Min
0.2906
25%
0.7555
Median
0.8925
75%
0.9434
Max
0.9832

classification_model

string

The classification model pin that answered.

  • cloudflare/clef-flash-fp8-17f0b0ad100%
Valid
2,040 · 84.1%
Missing
386 · 15.9%
Distinct
1 · 0% 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.

  • regulation and government policy24%
  • economy and demand21%
  • competition11%
  • Other (3)
Valid
1,948 · 80.3%
Missing
478 · 19.7%
Distinct
15 · 0.8% of valid

top_risk_theme_confidence

decimal

Probability of the top_risk_theme label, 0 to 1.

Histogram: 0.16650000000000001 to 0.26101249999999998, 200; 0.26101249999999998 to 0.35552499999999998, 511; 0.35552499999999998 to 0.45003749999999998, 445; 0.45003749999999998 to 0.54454999999999998, 317; 0.54454999999999998 to 0.63906249999999998, 215; 0.63906249999999998 to 0.73357499999999998, 132; 0.73357499999999998 to 0.82808749999999998, 83; 0.82808749999999998 to 0.92259999999999998, 45
0.16650.9226
Valid
1,948 · 80.3%
Missing
478 · 19.7%
Distinct
1,640 · 84.2% of valid
Min
0.1665
25%
0.3162
Median
0.4079
75%
0.5410
Max
0.9226

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).

  • false67%
  • true33%
Valid
1,948 · 80.3%
Missing
478 · 19.7%
Distinct
2 · 0.1% of valid

tariff_risk_probability

decimal

Probability the classification model gave tariff_risk, 0 to 1.

Histogram: 0.0053 to 0.12636250000000002, 1,150; 0.12636250000000002 to 0.24742500000000001, 83; 0.24742500000000001 to 0.36848750000000002, 44; 0.36848750000000002 to 0.48955000000000004, 30; 0.48955000000000004 to 0.6106125, 42; 0.6106125 to 0.73167499999999996, 38; 0.73167499999999996 to 0.85273750000000004, 99; 0.85273750000000004 to 0.9738, 462
0.00530.9738
Valid
1,948 · 80.3%
Missing
478 · 19.7%
Distinct
870 · 44.7% of valid
Min
0.0053
25%
0.0158
Median
0.0467
75%
0.8355
Max
0.9738

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
1,948 · 80.3%
Missing
478 · 19.7%
Distinct
1 · 0.1% of valid

ai_risk_probability

decimal

Probability the classification model gave ai_risk, 0 to 1.

Histogram: 0.0070000000000000001 to 0.027649999999999997, 1,893; 0.027649999999999997 to 0.048299999999999996, 45; 0.048299999999999996 to 0.068949999999999997, 5; 0.068949999999999997 to 0.089599999999999999, 0; 0.089599999999999999 to 0.11025, 1; 0.11025 to 0.13089999999999999, 3; 0.13089999999999999 to 0.15154999999999999, 0; 0.15154999999999999 to 0.17219999999999999, 1
0.00700.1722
Valid
1,948 · 80.3%
Missing
478 · 19.7%
Distinct
189 · 9.7% of valid
Min
0.0070
25%
0.0113
Median
0.0135
75%
0.0167
Max
0.1722

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).

  • false94%
  • true6%
Valid
1,948 · 80.3%
Missing
478 · 19.7%
Distinct
2 · 0.1% of valid

going_concern_risk_probability

decimal

Probability the classification model gave going_concern_risk, 0 to 1.

Histogram: 0.0082000000000000007 to 0.12923750000000001, 1,692; 0.12923750000000001 to 0.25027500000000003, 81; 0.25027500000000003 to 0.37131249999999999, 41; 0.37131249999999999 to 0.49235000000000001, 25; 0.49235000000000001 to 0.61338749999999997, 9; 0.61338749999999997 to 0.73442499999999999, 9; 0.73442499999999999 to 0.85546250000000001, 14; 0.85546250000000001 to 0.97650000000000003, 77
0.00820.9765
Valid
1,948 · 80.3%
Missing
478 · 19.7%
Distinct
570 · 29.3% of valid
Min
0.0082
25%
0.0145
Median
0.0193
75%
0.0386
Max
0.9765

business_excerpt

string

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

2,038 distinct values, no chart

Valid
2,040 · 84.1%
Missing
386 · 15.9%
Distinct
2,038 · 99.9% of valid

search_text

string

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

2,421 distinct values, no chart

Valid
2,426 · 100%
Missing
0 · 0%
Distinct
2,421 · 99.8% of valid

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