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Data viewTableSummary
Updated

4 MB across 12 parts, newest sealed 1 November 2026 at 01:42 UTC.

The first build wrote 12 parts and 2,518 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.

2,518 distinct values, no chart

Valid
2,518 · 100%
Missing
0 · 0%
Distinct
2,518 · 100% of valid

cik

integer

SEC CIK of the filer.

Histogram: 1750 to 210895, 419; 210896 to 420040, 68; 420041 to 629185, 0; 629186 to 838330, 306; 838331 to 1047475, 517; 1047476 to 1256620, 341; 1256621 to 1465765, 444; 1465766 to 1674910, 423
17501674910
Valid
2,518 · 100%
Missing
0 · 0%
Distinct
2,510 · 99.7% of valid
Min
1750
25%
763532
Median
1037038
75%
1373715
Max
1674910

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, 63; 531144 to 795839, 209; 795840 to 1060536, 650; 1060537 to 1325233, 416; 1325234 to 1589929, 598; 1589930 to 1854626, 152; 1854627 to 2119322, 11
17502119322
Valid
2,518 · 100%
Missing
0 · 0%
Distinct
2,510 · 99.7% of valid
Min
1750
25%
764065
Median
1039828
75%
1381668
Max
2119322

ticker

string

Primary ticker, such as AAPL.

2,510 distinct values, no chart

Valid
2,518 · 100%
Missing
0 · 0%
Distinct
2,510 · 99.7% of valid

company_name

string

Company name on the EDGAR index.

2,510 distinct values, no chart

Valid
2,518 · 100%
Missing
0 · 0%
Distinct
2,510 · 99.7% of valid

form

string

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

  • 10-K100%
  • 10-KT0%
Valid
2,518 · 100%
Missing
0 · 0%
Distinct
2 · 0.1% of valid

filed_date

date

Date the report was filed.

Timeline per month: 2016-01-01, 36; 2016-02-01, 1,083; 2016-03-01, 844; 2016-04-01, 61; 2016-05-01, 48; 2016-06-01, 64; 2016-07-01, 35; 2016-08-01, 75; 2016-09-01, 75; 2016-10-01, 32; 2016-11-01, 86; 2016-12-01, 79
2016-01-012016-12-01

per month

Valid
2,518 · 100%
Missing
0 · 0%
Distinct
215 · 8.5% 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
2,518 · 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
2,518 · 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
2,518 · 100%
Distinct
0 · 0% of valid

doc_url

string

Main document on EDGAR.

2,516 distinct values, no chart

Valid
2,516 · 99.9%
Missing
2 · 0.1%
Distinct
2,516 · 100% of valid

index_url

string

Filing index page on EDGAR.

2,518 distinct values, no chart

Valid
2,518 · 100%
Missing
0 · 0%
Distinct
2,518 · 100% of valid

doc_status

string

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

  • read91%
  • document not read9%
  • index not read0%
Valid
2,518 · 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
2,518 · 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
2,518 · 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
2,518 · 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
2,518 · 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
2,518 · 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
2,518 · 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
2,518 · 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
2,518 · 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
2,518 · 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
2,518 · 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
2,518 · 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
2,518 · 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
2,518 · 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
2,518 · 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
2,518 · 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).

  • false79%
  • true21%
Valid
2,284 · 90.7%
Missing
234 · 9.3%
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
2,284 · 90.7%
Missing
234 · 9.3%
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, 2,270; 4 to 7, 5; 8 to 10, 4; 11 to 14, 3; 15 to 18, 0; 19 to 21, 1; 22 to 25, 0; 26 to 28, 1
028
Valid
2,284 · 90.7%
Missing
234 · 9.3%
Distinct
15 · 0.7% of valid
Min
0
25%
0
Median
0
75%
0
Max
28

tariff_mentions

integer

Times the report says tariff or tariffs.

Histogram: 0 to 6, 2,242; 7 to 13, 14; 14 to 20, 15; 21 to 26, 3; 27 to 33, 3; 34 to 40, 4; 41 to 47, 0; 48 to 53, 3
053
Valid
2,284 · 90.7%
Missing
234 · 9.3%
Distinct
29 · 1.3% of valid
Min
0
25%
0
Median
0
75%
1
Max
53

doc_chars

integer

Characters of text in the main document.

Histogram: 10713 to 138263, 127; 138264 to 265814, 515; 265815 to 393365, 915; 393366 to 520916, 490; 520917 to 648467, 180; 648468 to 776018, 38; 776019 to 903569, 15; 903570 to 1031119, 4
107131031119
Valid
2,284 · 90.7%
Missing
234 · 9.3%
Distinct
2,277 · 99.7% of valid
Min
10713
25%
254949
Median
337216
75%
422707
Max
1031119

sections_found

integer

How many standard Items were found in the document.

Histogram: 0 to 1, 282; 2 to 2, 30; 3 to 3, 25; 4 to 4, 47; 5 to 6, 505; 7 to 7, 811; 8 to 8, 812; 9 to 9, 6
09
Valid
2,518 · 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: 612 to 100695, 1,928; 100696 to 200778, 189; 200779 to 300861, 15; 300862 to 400944, 14; 400945 to 501027, 3; 501028 to 601110, 4; 601111 to 701193, 0; 701194 to 801276, 2
612801276
Valid
2,155 · 85.6%
Missing
363 · 14.4%
Distinct
2,130 · 98.8% of valid
Min
612
25%
26650
Median
42154
75%
66553
Max
801276

risk_factors_chars

integer

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

Histogram: 571 to 59831, 1,254; 59832 to 119092, 624; 119093 to 178353, 151; 178354 to 237614, 23; 237615 to 296875, 6; 296876 to 356136, 1; 356137 to 415397, 1; 415398 to 474657, 1
571474657
Valid
2,061 · 81.9%
Missing
457 · 18.1%
Distinct
2,043 · 99.1% of valid
Min
571
25%
32665
Median
50387
75%
76721
Max
474657

cybersecurity_chars

integer

Characters in Item 1C Cybersecurity.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,518 · 100%
Distinct
0 · 0% of valid

legal_proceedings_chars

integer

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

Histogram: 402 to 23513, 1,257; 23514 to 46624, 11; 46625 to 69736, 2; 69737 to 92847, 1; 92848 to 115958, 1; 115959 to 139070, 0; 139071 to 162181, 0; 162182 to 185292, 1
402185292
Valid
1,273 · 50.6%
Missing
1,245 · 49.4%
Distinct
1,012 · 79.5% of valid
Min
402
25%
674
Median
1380
75%
3600
Max
185292

mdna_chars

integer

Characters in Item 7 Management's Discussion and Analysis.

Histogram: 405 to 51158, 684; 51159 to 101911, 1,028; 101912 to 152664, 273; 152665 to 203417, 55; 203418 to 254170, 8; 254171 to 304923, 2; 304924 to 355676, 0; 355677 to 406429, 2
405406429
Valid
2,052 · 81.5%
Missing
466 · 18.5%
Distinct
2,031 · 99% of valid
Min
405
25%
44087
Median
64648
75%
88570
Max
406429

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.

2,041 distinct values, no chart

Valid
2,044 · 81.2%
Missing
474 · 18.8%
Distinct
2,041 · 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.

1,452 distinct values, no chart

Valid
1,486 · 59%
Missing
1,032 · 41%
Distinct
1,452 · 97.7% of valid

segments

string

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

1,467 distinct values, no chart

Valid
1,482 · 58.9%
Missing
1,036 · 41.1%
Distinct
1,467 · 99% 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.

1,049 distinct values, no chart

Valid
1,056 · 41.9%
Missing
1,462 · 58.1%
Distinct
1,049 · 99.3% 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.

896 distinct values, no chart

Valid
901 · 35.8%
Missing
1,617 · 64.2%
Distinct
896 · 99.4% of valid

competitors

string

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

1,623 distinct values, no chart

Valid
1,628 · 64.7%
Missing
890 · 35.3%
Distinct
1,623 · 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, 201556%
  • September 30, 20164%
  • June 30, 20163%
  • Other (176)
Valid
1,557 · 61.8%
Missing
961 · 38.2%
Distinct
188 · 12.1% 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.

1,111 distinct values, no chart

Valid
1,231 · 48.9%
Missing
1,287 · 51.1%
Distinct
1,111 · 90.3% 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.

1,427 distinct values, no chart

Valid
1,565 · 62.2%
Missing
953 · 37.8%
Distinct
1,427 · 91.2% 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.

805 distinct values, no chart

Valid
810 · 32.2%
Missing
1,708 · 67.8%
Distinct
805 · 99.4% 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.

684 distinct values, no chart

Valid
688 · 27.3%
Missing
1,830 · 72.7%
Distinct
684 · 99.4% 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.

482 distinct values, no chart

Valid
483 · 19.2%
Missing
2,035 · 80.8%
Distinct
482 · 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.

1,174 distinct values, no chart

Valid
1,257 · 49.9%
Missing
1,261 · 50.1%
Distinct
1,174 · 93.4% of valid

website

string

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

1,561 distinct values, no chart

Valid
1,589 · 63.1%
Missing
929 · 36.9%
Distinct
1,561 · 98.2% of valid

employees_text

string

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

1,675 distinct values, no chart

Valid
1,715 · 68.1%
Missing
803 · 31.9%
Distinct
1,675 · 97.7% of valid

employees_count

integer

Number of employees parsed from employees_text.

Histogram: 1 to 9075000, 1,542; 9075001 to 18150000, 0; 18150001 to 27225000, 0; 27225001 to 36300000, 0; 36300001 to 45375000, 0; 45375001 to 54450000, 0; 54450001 to 63525000, 0; 63525001 to 72600000, 1
172600000
Valid
1,543 · 61.3%
Missing
975 · 38.7%
Distinct
1,060 · 68.7% of valid
Min
1
25%
258
Median
1711
75%
8375
Max
72600000

founded_year

integer

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

Histogram: 1784 to 1813, 5; 1814 to 1842, 7; 1843 to 1871, 20; 1872 to 1900, 63; 1901 to 1929, 125; 1930 to 1958, 133; 1959 to 1987, 498; 1988 to 2016, 842
17842016
Valid
1,693 · 67.2%
Missing
825 · 32.8%
Distinct
167 · 9.9% of valid
Min
1784
25%
1967
Median
1987
75%
2000
Max
2016

extraction_model

string

The extraction model pin that answered.

  • mostlyright/nuextract3-web-g-fp8-24086297100%
Valid
2,080 · 82.6%
Missing
438 · 17.4%
Distinct
1 · 0% 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%
  • Financials17%
  • Health Care16%
Valid
2,155 · 85.6%
Missing
363 · 14.4%
Distinct
12 · 0.6% of valid

sector_confidence

decimal

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

Histogram: 0.2253 to 0.31947500000000001, 22; 0.31947500000000001 to 0.41365000000000002, 69; 0.41365000000000002 to 0.50782499999999997, 164; 0.50782499999999997 to 0.60200000000000009, 165; 0.60200000000000009 to 0.69617499999999999, 212; 0.69617499999999999 to 0.79035000000000011, 225; 0.79035000000000011 to 0.88452500000000001, 448; 0.88452500000000001 to 0.97870000000000013, 850
0.22530.9787
Valid
2,155 · 85.6%
Missing
363 · 14.4%
Distinct
1,654 · 76.8% of valid
Min
0.2253
25%
0.6548
Median
0.8460
75%
0.9232
Max
0.9787

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
2,155 · 85.6%
Missing
363 · 14.4%
Distinct
5 · 0.2% of valid

business_model_confidence

decimal

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

Histogram: 0.2243 to 0.31864999999999999, 48; 0.31864999999999999 to 0.41299999999999998, 83; 0.41299999999999998 to 0.50734999999999997, 173; 0.50734999999999997 to 0.6016999999999999, 219; 0.6016999999999999 to 0.69604999999999995, 206; 0.69604999999999995 to 0.79039999999999999, 238; 0.79039999999999999 to 0.88474999999999993, 511; 0.88474999999999993 to 0.97909999999999986, 677
0.22430.9791
Valid
2,155 · 85.6%
Missing
363 · 14.4%
Distinct
1,734 · 80.5% of valid
Min
0.2243
25%
0.6130
Median
0.8168
75%
0.9049
Max
0.9791

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
2,155 · 85.6%
Missing
363 · 14.4%
Distinct
11 · 0.5% of valid

revenue_model_confidence

decimal

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

Histogram: 0.21840000000000001 to 0.31209999999999999, 60; 0.31209999999999999 to 0.40579999999999999, 142; 0.40579999999999999 to 0.49949999999999994, 200; 0.49949999999999994 to 0.59319999999999995, 159; 0.59319999999999995 to 0.68689999999999996, 237; 0.68689999999999996 to 0.78059999999999996, 327; 0.78059999999999996 to 0.87429999999999997, 559; 0.87429999999999997 to 0.96799999999999997, 471
0.21840.9680
Valid
2,155 · 85.6%
Missing
363 · 14.4%
Distinct
1,779 · 82.6% of valid
Min
0.2184
25%
0.5817
Median
0.7661
75%
0.8641
Max
0.9680

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.

  • none94%
  • peripheral5%
  • significant0%
Valid
2,155 · 85.6%
Missing
363 · 14.4%
Distinct
4 · 0.2% of valid

ai_exposure_confidence

decimal

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

Histogram: 0.36370000000000002 to 0.44192500000000001, 16; 0.44192500000000001 to 0.52015, 58; 0.52015 to 0.5983750000000001, 60; 0.5983750000000001 to 0.67660000000000009, 62; 0.67660000000000009 to 0.75482500000000008, 80; 0.75482500000000008 to 0.83305000000000007, 78; 0.83305000000000007 to 0.91127500000000006, 174; 0.91127500000000006 to 0.98950000000000005, 1,627
0.36370.9895
Valid
2,155 · 85.6%
Missing
363 · 14.4%
Distinct
1,025 · 47.6% of valid
Min
0.3637
25%
0.9136
Median
0.9624
75%
0.9725
Max
0.9895

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 company64%
  • bank or lender8%
  • clinical-stage biotech8%
Valid
2,155 · 85.6%
Missing
363 · 14.4%
Distinct
10 · 0.5% of valid

company_type_confidence

decimal

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

Histogram: 0.23830000000000001 to 0.33113749999999997, 16; 0.33113749999999997 to 0.42397499999999999, 61; 0.42397499999999999 to 0.5168124999999999, 124; 0.5168124999999999 to 0.60965000000000003, 202; 0.60965000000000003 to 0.70248749999999993, 246; 0.70248749999999993 to 0.79532499999999984, 473; 0.79532499999999984 to 0.88816249999999997, 618; 0.88816249999999997 to 0.98099999999999987, 415
0.23830.9810
Valid
2,155 · 85.6%
Missing
363 · 14.4%
Distinct
1,727 · 80.1% of valid
Min
0.2383
25%
0.6657
Median
0.7890
75%
0.8618
Max
0.9810

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%
  • global40%
  • mostly outside the United States3%
Valid
2,155 · 85.6%
Missing
363 · 14.4%
Distinct
4 · 0.2% of valid

geographic_focus_confidence

decimal

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

Histogram: 0.29110000000000003 to 0.37758750000000002, 5; 0.37758750000000002 to 0.46407500000000002, 34; 0.46407500000000002 to 0.55056250000000007, 131; 0.55056250000000007 to 0.63705000000000001, 129; 0.63705000000000001 to 0.72353749999999994, 162; 0.72353749999999994 to 0.810025, 214; 0.810025 to 0.89651249999999993, 407; 0.89651249999999993 to 0.98299999999999998, 1,073
0.29110.9830
Valid
2,155 · 85.6%
Missing
363 · 14.4%
Distinct
1,523 · 70.7% of valid
Min
0.2911
25%
0.7598
Median
0.8959
75%
0.9432
Max
0.9830

classification_model

string

The classification model pin that answered.

  • cloudflare/clef-flash-fp8-17f0b0ad100%
Valid
2,155 · 85.6%
Missing
363 · 14.4%
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 policy23%
  • economy and demand21%
  • liquidity, debt or going concern13%
  • Other (3)
Valid
2,061 · 81.9%
Missing
457 · 18.1%
Distinct
15 · 0.7% of valid

top_risk_theme_confidence

decimal

Probability of the top_risk_theme label, 0 to 1.

Histogram: 0.1487 to 0.244475, 170; 0.244475 to 0.34025, 486; 0.34025 to 0.436025, 525; 0.436025 to 0.53180000000000005, 322; 0.53180000000000005 to 0.62757499999999999, 235; 0.62757499999999999 to 0.72334999999999994, 166; 0.72334999999999994 to 0.8191250000000001, 97; 0.8191250000000001 to 0.91490000000000005, 60
0.14870.9149
Valid
2,061 · 81.9%
Missing
457 · 18.1%
Distinct
1,715 · 83.2% of valid
Min
0.1487
25%
0.3177
Median
0.4062
75%
0.5522
Max
0.9149

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).

  • false68%
  • true32%
Valid
2,061 · 81.9%
Missing
457 · 18.1%
Distinct
2 · 0.1% of valid

tariff_risk_probability

decimal

Probability the classification model gave tariff_risk, 0 to 1.

Histogram: 0.0068999999999999999 to 0.12805, 1,235; 0.12805 to 0.24919999999999998, 81; 0.24919999999999998 to 0.37035000000000001, 51; 0.37035000000000001 to 0.49149999999999999, 32; 0.49149999999999999 to 0.61265000000000003, 35; 0.61265000000000003 to 0.73380000000000001, 50; 0.73380000000000001 to 0.85494999999999999, 112; 0.85494999999999999 to 0.97609999999999997, 465
0.00690.9761
Valid
2,061 · 81.9%
Missing
457 · 18.1%
Distinct
907 · 44% of valid
Min
0.0069
25%
0.0159
Median
0.0434
75%
0.8187
Max
0.9761

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%
  • true0%
Valid
2,061 · 81.9%
Missing
457 · 18.1%
Distinct
2 · 0.1% of valid

ai_risk_probability

decimal

Probability the classification model gave ai_risk, 0 to 1.

Histogram: 0.0071999999999999998 to 0.095824999999999994, 2,054; 0.095824999999999994 to 0.18445, 4; 0.18445 to 0.27307499999999996, 2; 0.27307499999999996 to 0.36169999999999997, 0; 0.36169999999999997 to 0.45032499999999998, 0; 0.45032499999999998 to 0.53894999999999993, 0; 0.53894999999999993 to 0.62757499999999999, 0; 0.62757499999999999 to 0.71619999999999995, 1
0.00720.7162
Valid
2,061 · 81.9%
Missing
457 · 18.1%
Distinct
204 · 9.9% of valid
Min
0.0072
25%
0.0117
Median
0.0140
75%
0.0174
Max
0.7162

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).

  • false93%
  • true7%
Valid
2,061 · 81.9%
Missing
457 · 18.1%
Distinct
2 · 0.1% of valid

going_concern_risk_probability

decimal

Probability the classification model gave going_concern_risk, 0 to 1.

Histogram: 0.0076 to 0.12857499999999999, 1,763; 0.12857499999999999 to 0.24954999999999999, 94; 0.24954999999999999 to 0.37052499999999999, 43; 0.37052499999999999 to 0.49149999999999999, 23; 0.49149999999999999 to 0.6124750000000001, 11; 0.6124750000000001 to 0.73345000000000005, 10; 0.73345000000000005 to 0.85442499999999999, 12; 0.85442499999999999 to 0.97540000000000004, 105
0.00760.9754
Valid
2,061 · 81.9%
Missing
457 · 18.1%
Distinct
618 · 30% of valid
Min
0.0076
25%
0.0145
Median
0.0194
75%
0.0460
Max
0.9754

business_excerpt

string

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

2,153 distinct values, no chart

Valid
2,155 · 85.6%
Missing
363 · 14.4%
Distinct
2,153 · 99.9% of valid

search_text

string

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

2,517 distinct values, no chart

Valid
2,518 · 100%
Missing
0 · 0%
Distinct
2,517 · 100% of valid

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