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Data viewTableSummary
Updated

4.2 MB across 12 parts, newest sealed 1 November 2026 at 02:42 UTC.

The first build wrote 12 parts and 2,609 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.

2,609 distinct values, no chart

Valid
2,609 · 100%
Missing
0 · 0%
Distinct
2,609 · 100% of valid

cik

integer

SEC CIK of the filer.

Histogram: 1750 to 215020, 417; 215021 to 428290, 70; 428291 to 641560, 0; 641561 to 854830, 330; 854831 to 1068100, 550; 1068101 to 1281370, 318; 1281371 to 1494640, 484; 1494641 to 1707910, 440
17501707910
Valid
2,609 · 100%
Missing
0 · 0%
Distinct
2,599 · 99.6% of valid
Min
1750
25%
771999
Median
1047862
75%
1398659
Max
1707910

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, 65; 531144 to 795839, 208; 795840 to 1060536, 647; 1060537 to 1325233, 421; 1325234 to 1589929, 618; 1589930 to 1854626, 221; 1854627 to 2119322, 10
17502119322
Valid
2,609 · 100%
Missing
0 · 0%
Distinct
2,599 · 99.6% of valid
Min
1750
25%
776867
Median
1049521
75%
1403528
Max
2119322

ticker

string

Primary ticker, such as AAPL.

2,599 distinct values, no chart

Valid
2,609 · 100%
Missing
0 · 0%
Distinct
2,599 · 99.6% of valid

company_name

string

Company name on the EDGAR index.

2,599 distinct values, no chart

Valid
2,609 · 100%
Missing
0 · 0%
Distinct
2,599 · 99.6% of valid

form

string

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

  • 10-K100%
  • 10-KT0%
Valid
2,609 · 100%
Missing
0 · 0%
Distinct
2 · 0.1% of valid

filed_date

date

Date the report was filed.

Timeline per month: 2017-01-01, 35; 2017-02-01, 1,001; 2017-03-01, 1,000; 2017-04-01, 76; 2017-05-01, 53; 2017-06-01, 64; 2017-07-01, 31; 2017-08-01, 70; 2017-09-01, 82; 2017-10-01, 32; 2017-11-01, 91; 2017-12-01, 74
2017-01-012017-12-01

per month

Valid
2,609 · 100%
Missing
0 · 0%
Distinct
214 · 8.2% 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
2,609 · 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
2,609 · 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
2,609 · 100%
Distinct
0 · 0% of valid

doc_url

string

Main document on EDGAR.

2,609 distinct values, no chart

Valid
2,609 · 100%
Missing
0 · 0%
Distinct
2,609 · 100% of valid

index_url

string

Filing index page on EDGAR.

2,609 distinct values, no chart

Valid
2,609 · 100%
Missing
0 · 0%
Distinct
2,609 · 100% of valid

doc_status

string

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

  • read92%
  • document not read8%
Valid
2,609 · 100%
Missing
0 · 0%
Distinct
2 · 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
2,609 · 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
2,609 · 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
2,609 · 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
2,609 · 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
2,609 · 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
2,609 · 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
2,609 · 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
2,609 · 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
2,609 · 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
2,609 · 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
2,609 · 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
2,609 · 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
2,609 · 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
2,609 · 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
2,609 · 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).

  • false77%
  • true23%
Valid
2,390 · 91.6%
Missing
219 · 8.4%
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).

  • false87%
  • true13%
Valid
2,390 · 91.6%
Missing
219 · 8.4%
Distinct
2 · 0.1% of valid

ai_mentions

integer

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

Histogram: 0 to 6, 2,369; 7 to 13, 12; 14 to 20, 5; 21 to 26, 2; 27 to 33, 0; 34 to 40, 1; 41 to 47, 0; 48 to 53, 1
053
Valid
2,390 · 91.6%
Missing
219 · 8.4%
Distinct
19 · 0.8% of valid
Min
0
25%
0
Median
0
75%
0
Max
53

tariff_mentions

integer

Times the report says tariff or tariffs.

Histogram: 0 to 13, 2,363; 14 to 26, 15; 27 to 39, 8; 40 to 52, 3; 53 to 65, 0; 66 to 78, 0; 79 to 91, 0; 92 to 104, 1
0104
Valid
2,390 · 91.6%
Missing
219 · 8.4%
Distinct
33 · 1.4% of valid
Min
0
25%
0
Median
0
75%
1
Max
104

doc_chars

integer

Characters of text in the main document.

Histogram: 9643 to 133625, 119; 133626 to 257607, 451; 257608 to 381590, 901; 381591 to 505572, 614; 505573 to 629554, 225; 629555 to 753537, 57; 753538 to 877519, 16; 877520 to 1001501, 7
96431001501
Valid
2,390 · 91.6%
Missing
219 · 8.4%
Distinct
2,385 · 99.8% of valid
Min
9643
25%
261604
Median
345801
75%
434428
Max
1001501

sections_found

integer

How many standard Items were found in the document.

Histogram: 0 to 1, 272; 2 to 2, 39; 3 to 3, 37; 4 to 4, 42; 5 to 6, 532; 7 to 7, 844; 8 to 8, 837; 9 to 9, 6
09
Valid
2,609 · 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: 611 to 106222, 2,030; 106223 to 211834, 172; 211835 to 317446, 29; 317447 to 423058, 7; 423059 to 528670, 5; 528671 to 634282, 3; 634283 to 739894, 0; 739895 to 845506, 2
611845506
Valid
2,248 · 86.2%
Missing
361 · 13.8%
Distinct
2,220 · 98.8% of valid
Min
611
25%
26650
Median
42224
75%
68486
Max
845506

risk_factors_chars

integer

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

Histogram: 558 to 78264, 1,570; 78265 to 155971, 497; 155972 to 233678, 82; 233679 to 311384, 8; 311385 to 389091, 1; 389092 to 466798, 1; 466799 to 544505, 1; 544506 to 622211, 1
558622211
Valid
2,161 · 82.8%
Missing
448 · 17.2%
Distinct
2,138 · 98.9% of valid
Min
558
25%
33953
Median
53035
75%
82099
Max
622211

cybersecurity_chars

integer

Characters in Item 1C Cybersecurity.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,609 · 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 23992, 1,303; 23993 to 47584, 4; 47585 to 71176, 4; 71177 to 94768, 0; 94769 to 118360, 1; 118361 to 141952, 0; 141953 to 165544, 0; 165545 to 189136, 1
400189136
Valid
1,313 · 50.3%
Missing
1,296 · 49.7%
Distinct
1,051 · 80% of valid
Min
400
25%
674
Median
1333
75%
3533
Max
189136

mdna_chars

integer

Characters in Item 7 Management's Discussion and Analysis.

Histogram: 405 to 70791, 1,186; 70792 to 141178, 853; 141179 to 211565, 91; 211566 to 281952, 11; 281953 to 352339, 1; 352340 to 422726, 1; 422727 to 493113, 2; 493114 to 563499, 1
405563499
Valid
2,146 · 82.3%
Missing
463 · 17.7%
Distinct
2,124 · 99% of valid
Min
405
25%
44956
Median
65412
75%
88871
Max
563499

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.

2,149 distinct values, no chart

Valid
2,151 · 82.4%
Missing
458 · 17.6%
Distinct
2,149 · 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.

1,518 distinct values, no chart

Valid
1,549 · 59.4%
Missing
1,060 · 40.6%
Distinct
1,518 · 98% of valid

segments

string

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

1,520 distinct values, no chart

Valid
1,533 · 58.8%
Missing
1,076 · 41.2%
Distinct
1,520 · 99.2% 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.

1,084 distinct values, no chart

Valid
1,094 · 41.9%
Missing
1,515 · 58.1%
Distinct
1,084 · 99.1% 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.

926 distinct values, no chart

Valid
928 · 35.6%
Missing
1,681 · 64.4%
Distinct
926 · 99.8% of valid

competitors

string

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

1,692 distinct values, no chart

Valid
1,698 · 65.1%
Missing
911 · 34.9%
Distinct
1,692 · 99.6% 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, 201658%
  • September 30, 20174%
  • June 30, 20174%
  • Other (174)
Valid
1,629 · 62.4%
Missing
980 · 37.6%
Distinct
186 · 11.4% 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.

1,150 distinct values, no chart

Valid
1,287 · 49.3%
Missing
1,322 · 50.7%
Distinct
1,150 · 89.4% 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.

1,461 distinct values, no chart

Valid
1,601 · 61.4%
Missing
1,008 · 38.6%
Distinct
1,461 · 91.3% 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.

858 distinct values, no chart

Valid
861 · 33%
Missing
1,748 · 67%
Distinct
858 · 99.7% 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.

722 distinct values, no chart

Valid
723 · 27.7%
Missing
1,886 · 72.3%
Distinct
722 · 99.9% 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.

499 distinct values, no chart

Valid
501 · 19.2%
Missing
2,108 · 80.8%
Distinct
499 · 99.6% 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.

1,243 distinct values, no chart

Valid
1,333 · 51.1%
Missing
1,276 · 48.9%
Distinct
1,243 · 93.2% of valid

website

string

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

1,592 distinct values, no chart

Valid
1,628 · 62.4%
Missing
981 · 37.6%
Distinct
1,592 · 97.8% of valid

employees_text

string

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

1,742 distinct values, no chart

Valid
1,788 · 68.5%
Missing
821 · 31.5%
Distinct
1,742 · 97.4% of valid

employees_count

integer

Number of employees parsed from employees_text.

Histogram: 1 to 154000000, 1,597; 154000001 to 308000000, 0; 308000001 to 462000000, 0; 462000001 to 616000000, 0; 616000001 to 770000000, 0; 770000001 to 924000000, 0; 924000001 to 1078000000, 0; 1078000001 to 1232000000, 1
11232000000
Valid
1,598 · 61.2%
Missing
1,011 · 38.8%
Distinct
1,045 · 65.4% of valid
Min
1
25%
256
Median
1700
75%
8200
Max
1232000000

founded_year

integer

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

Histogram: 1784 to 1813, 5; 1814 to 1842, 4; 1843 to 1871, 24; 1872 to 1900, 68; 1901 to 1930, 132; 1931 to 1959, 147; 1960 to 1988, 533; 1989 to 2017, 861
17842017
Valid
1,774 · 68%
Missing
835 · 32%
Distinct
169 · 9.5% of valid
Min
1784
25%
1967
Median
1987
75%
2001
Max
2017

extraction_model

string

The extraction model pin that answered.

  • mostlyright/nuextract3-web-g-fp8-24086297100%
Valid
2,184 · 83.7%
Missing
425 · 16.3%
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 Care17%
Valid
2,247 · 86.1%
Missing
362 · 13.9%
Distinct
12 · 0.5% of valid

sector_confidence

decimal

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

Histogram: 0.1855 to 0.28487499999999999, 13; 0.28487499999999999 to 0.38424999999999998, 54; 0.38424999999999998 to 0.48362500000000003, 138; 0.48362500000000003 to 0.58299999999999996, 207; 0.58299999999999996 to 0.68237499999999995, 215; 0.68237499999999995 to 0.78175000000000006, 263; 0.78175000000000006 to 0.88112500000000005, 431; 0.88112500000000005 to 0.98050000000000004, 926
0.18550.9805
Valid
2,247 · 86.1%
Missing
362 · 13.9%
Distinct
1,712 · 76.2% of valid
Min
0.1855
25%
0.6538
Median
0.8422
75%
0.9223
Max
0.9805

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.

  • businesses62%
  • both businesses and consumers24%
  • consumers11%
Valid
2,247 · 86.1%
Missing
362 · 13.9%
Distinct
5 · 0.2% of valid

business_model_confidence

decimal

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

Histogram: 0.2288 to 0.32267499999999999, 56; 0.32267499999999999 to 0.41654999999999998, 86; 0.41654999999999998 to 0.51042500000000002, 188; 0.51042500000000002 to 0.60430000000000006, 213; 0.60430000000000006 to 0.69817499999999999, 225; 0.69817499999999999 to 0.79205000000000003, 278; 0.79205000000000003 to 0.88592499999999996, 483; 0.88592499999999996 to 0.9798, 718
0.22880.9798
Valid
2,247 · 86.1%
Missing
362 · 13.9%
Distinct
1,811 · 80.6% of valid
Min
0.2288
25%
0.6130
Median
0.8153
75%
0.9072
Max
0.9798

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
2,247 · 86.1%
Missing
362 · 13.9%
Distinct
11 · 0.5% of valid

revenue_model_confidence

decimal

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

Histogram: 0.1986 to 0.29448750000000001, 41; 0.29448750000000001 to 0.39037500000000003, 146; 0.39037500000000003 to 0.48626249999999999, 205; 0.48626249999999999 to 0.58214999999999995, 190; 0.58214999999999995 to 0.67803750000000007, 243; 0.67803750000000007 to 0.77392499999999997, 340; 0.77392499999999997 to 0.86981249999999999, 558; 0.86981249999999999 to 0.9657, 524
0.19860.9657
Valid
2,247 · 86.1%
Missing
362 · 13.9%
Distinct
1,851 · 82.4% of valid
Min
0.1986
25%
0.5691
Median
0.7626
75%
0.8642
Max
0.9657

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.

  • none92%
  • peripheral7%
  • significant1%
Valid
2,247 · 86.1%
Missing
362 · 13.9%
Distinct
4 · 0.2% of valid

ai_exposure_confidence

decimal

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

Histogram: 0.36420000000000002 to 0.44217499999999998, 18; 0.44217499999999998 to 0.52015, 64; 0.52015 to 0.59812500000000002, 86; 0.59812500000000002 to 0.67609999999999992, 87; 0.67609999999999992 to 0.75407500000000005, 92; 0.75407500000000005 to 0.83204999999999996, 102; 0.83204999999999996 to 0.91002499999999986, 169; 0.91002499999999986 to 0.98799999999999999, 1,629
0.36420.9880
Valid
2,247 · 86.1%
Missing
362 · 13.9%
Distinct
1,088 · 48.4% of valid
Min
0.3642
25%
0.8886
Median
0.9607
75%
0.9716
Max
0.9880

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
2,247 · 86.1%
Missing
362 · 13.9%
Distinct
10 · 0.4% of valid

company_type_confidence

decimal

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

Histogram: 0.24079999999999999 to 0.333125, 18; 0.333125 to 0.42544999999999999, 71; 0.42544999999999999 to 0.51777499999999999, 139; 0.51777499999999999 to 0.61009999999999998, 197; 0.61009999999999998 to 0.70242499999999997, 276; 0.70242499999999997 to 0.79475000000000007, 505; 0.79475000000000007 to 0.88707500000000006, 611; 0.88707500000000006 to 0.97940000000000005, 430
0.24080.9794
Valid
2,247 · 86.1%
Missing
362 · 13.9%
Distinct
1,770 · 78.8% of valid
Min
0.2408
25%
0.6624
Median
0.7822
75%
0.8619
Max
0.9794

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 States55%
  • global41%
  • mostly outside the United States4%
Valid
2,247 · 86.1%
Missing
362 · 13.9%
Distinct
4 · 0.2% of valid

geographic_focus_confidence

decimal

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

Histogram: 0.29699999999999999 to 0.38295000000000001, 5; 0.38295000000000001 to 0.46889999999999998, 40; 0.46889999999999998 to 0.55485000000000007, 133; 0.55485000000000007 to 0.64080000000000004, 146; 0.64080000000000004 to 0.72675000000000001, 177; 0.72675000000000001 to 0.81269999999999998, 215; 0.81269999999999998 to 0.89864999999999995, 423; 0.89864999999999995 to 0.98459999999999992, 1,108
0.29700.9846
Valid
2,247 · 86.1%
Missing
362 · 13.9%
Distinct
1,567 · 69.7% of valid
Min
0.2970
25%
0.7528
Median
0.8966
75%
0.9430
Max
0.9846

classification_model

string

The classification model pin that answered.

  • cloudflare/clef-flash-fp8-17f0b0ad100%
Valid
2,247 · 86.1%
Missing
362 · 13.9%
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 demand19%
  • liquidity, debt or going concern12%
  • Other (3)
Valid
2,161 · 82.8%
Missing
448 · 17.2%
Distinct
15 · 0.7% of valid

top_risk_theme_confidence

decimal

Probability of the top_risk_theme label, 0 to 1.

Histogram: 0.14130000000000001 to 0.23755000000000001, 144; 0.23755000000000001 to 0.33379999999999999, 541; 0.33379999999999999 to 0.43005000000000004, 509; 0.43005000000000004 to 0.52629999999999999, 375; 0.52629999999999999 to 0.62255000000000005, 241; 0.62255000000000005 to 0.71879999999999999, 165; 0.71879999999999999 to 0.81505000000000005, 119; 0.81505000000000005 to 0.9113, 67
0.14130.9113
Valid
2,161 · 82.8%
Missing
448 · 17.2%
Distinct
1,781 · 82.4% of valid
Min
0.1413
25%
0.3086
Median
0.4064
75%
0.5445
Max
0.9113

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).

  • false64%
  • true36%
Valid
2,161 · 82.8%
Missing
448 · 17.2%
Distinct
2 · 0.1% of valid

tariff_risk_probability

decimal

Probability the classification model gave tariff_risk, 0 to 1.

Histogram: 0.0064999999999999997 to 0.12772500000000001, 1,218; 0.12772500000000001 to 0.24895, 81; 0.24895 to 0.37017499999999998, 49; 0.37017499999999998 to 0.4914, 31; 0.4914 to 0.61262499999999998, 38; 0.61262499999999998 to 0.73384999999999989, 43; 0.73384999999999989 to 0.85507499999999992, 124; 0.85507499999999992 to 0.97629999999999995, 577
0.00650.9763
Valid
2,161 · 82.8%
Missing
448 · 17.2%
Distinct
966 · 44.7% of valid
Min
0.0065
25%
0.0167
Median
0.0567
75%
0.8766
Max
0.9763

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).

  • false99%
  • true1%
Valid
2,161 · 82.8%
Missing
448 · 17.2%
Distinct
2 · 0.1% of valid

ai_risk_probability

decimal

Probability the classification model gave ai_risk, 0 to 1.

Histogram: 0.0070000000000000001 to 0.11511250000000001, 2,141; 0.11511250000000001 to 0.22322500000000001, 7; 0.22322500000000001 to 0.33133750000000001, 0; 0.33133750000000001 to 0.43945000000000001, 2; 0.43945000000000001 to 0.54756250000000006, 2; 0.54756250000000006 to 0.65567500000000001, 1; 0.65567500000000001 to 0.76378749999999995, 4; 0.76378749999999995 to 0.87190000000000001, 4
0.00700.8719
Valid
2,161 · 82.8%
Missing
448 · 17.2%
Distinct
238 · 11% of valid
Min
0.0070
25%
0.0121
Median
0.0145
75%
0.0181
Max
0.8719

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
2,161 · 82.8%
Missing
448 · 17.2%
Distinct
2 · 0.1% of valid

going_concern_risk_probability

decimal

Probability the classification model gave going_concern_risk, 0 to 1.

Histogram: 0.0073000000000000001 to 0.12839999999999999, 1,853; 0.12839999999999999 to 0.2495, 97; 0.2495 to 0.37059999999999998, 44; 0.37059999999999998 to 0.49169999999999997, 13; 0.49169999999999997 to 0.61280000000000001, 15; 0.61280000000000001 to 0.7339, 14; 0.7339 to 0.85499999999999998, 10; 0.85499999999999998 to 0.97609999999999997, 115
0.00730.9761
Valid
2,161 · 82.8%
Missing
448 · 17.2%
Distinct
622 · 28.8% of valid
Min
0.0073
25%
0.0142
Median
0.0188
75%
0.0460
Max
0.9761

business_excerpt

string

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

2,245 distinct values, no chart

Valid
2,248 · 86.2%
Missing
361 · 13.8%
Distinct
2,245 · 99.9% of valid

search_text

string

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

2,607 distinct values, no chart

Valid
2,609 · 100%
Missing
0 · 0%
Distinct
2,607 · 99.9% of valid

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