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Data viewTableSummary
Updated

3.3 MB across 12 parts, newest sealed 1 November 2026 at 00:48 UTC.

The first build wrote 12 parts and 2,130 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.

2,130 distinct values, no chart

Valid
2,130 · 100%
Missing
0 · 0%
Distinct
2,130 · 100% of valid

cik

integer

SEC CIK of the filer.

Histogram: 1750 to 194963, 415; 194964 to 388177, 74; 388178 to 581391, 0; 581392 to 774604, 169; 774605 to 967818, 487; 967819 to 1161032, 423; 1161033 to 1354246, 234; 1354247 to 1547459, 328
17501547459
Valid
2,130 · 100%
Missing
0 · 0%
Distinct
2,120 · 99.5% of valid
Min
1750
25%
715957
Median
919012
75%
1175454
Max
1547459

listed_cik

integer

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

Histogram: 1750 to 266446, 416; 266447 to 531143, 65; 531144 to 795839, 208; 795840 to 1060536, 641; 1060537 to 1325233, 383; 1325234 to 1589929, 381; 1589930 to 1854626, 22; 1854627 to 2119322, 14
17502119322
Valid
2,130 · 100%
Missing
0 · 0%
Distinct
2,120 · 99.5% of valid
Min
1750
25%
717954
Median
923601
75%
1230245
Max
2119322

ticker

string

Primary ticker, such as AAPL.

2,120 distinct values, no chart

Valid
2,130 · 100%
Missing
0 · 0%
Distinct
2,120 · 99.5% of valid

company_name

string

Company name on the EDGAR index.

2,121 distinct values, no chart

Valid
2,130 · 100%
Missing
0 · 0%
Distinct
2,121 · 99.6% of valid

form

string

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

  • 10-K100%
  • 10-KT0%
Valid
2,130 · 100%
Missing
0 · 0%
Distinct
2 · 0.1% of valid

filed_date

date

Date the report was filed.

Timeline per month: 2012-01-01, 35; 2012-02-01, 851; 2012-03-01, 714; 2012-04-01, 65; 2012-05-01, 47; 2012-06-01, 52; 2012-07-01, 39; 2012-08-01, 67; 2012-09-01, 66; 2012-10-01, 36; 2012-11-01, 83; 2012-12-01, 75
2012-01-012012-12-01

per month

Valid
2,130 · 100%
Missing
0 · 0%
Distinct
204 · 9.6% 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
2,130 · 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
2,130 · 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
2,130 · 100%
Distinct
0 · 0% of valid

doc_url

string

Main document on EDGAR.

2,124 distinct values, no chart

Valid
2,124 · 99.7%
Missing
6 · 0.3%
Distinct
2,124 · 100% of valid

index_url

string

Filing index page on EDGAR.

2,130 distinct values, no chart

Valid
2,130 · 100%
Missing
0 · 0%
Distinct
2,130 · 100% of valid

doc_status

string

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

  • read84%
  • document not read16%
  • index not read0%
Valid
2,130 · 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
2,130 · 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
2,130 · 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
2,130 · 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
2,130 · 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
2,130 · 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
2,130 · 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
2,130 · 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
2,130 · 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
2,130 · 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
2,130 · 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
2,130 · 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
2,130 · 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
2,130 · 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
2,130 · 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
2,130 · 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).

  • false95%
  • true5%
Valid
1,781 · 83.6%
Missing
349 · 16.4%
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).

  • false92%
  • true8%
Valid
1,781 · 83.6%
Missing
349 · 16.4%
Distinct
2 · 0.1% of valid

ai_mentions

integer

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

Histogram: 0 to 7, 1,778; 8 to 14, 1; 15 to 21, 1; 22 to 28, 0; 29 to 36, 0; 37 to 43, 0; 44 to 50, 0; 51 to 57, 1
057
Valid
1,781 · 83.6%
Missing
349 · 16.4%
Distinct
8 · 0.4% of valid
Min
0
25%
0
Median
0
75%
0
Max
57

tariff_mentions

integer

Times the report says tariff or tariffs.

Histogram: 0 to 6, 1,744; 7 to 12, 21; 13 to 18, 7; 19 to 24, 5; 25 to 31, 1; 32 to 37, 0; 38 to 43, 1; 44 to 49, 2
049
Valid
1,781 · 83.6%
Missing
349 · 16.4%
Distinct
23 · 1.3% of valid
Min
0
25%
0
Median
0
75%
1
Max
49

doc_chars

integer

Characters of text in the main document.

Histogram: 9664 to 134650, 172; 134651 to 259636, 513; 259637 to 384622, 720; 384623 to 509608, 273; 509609 to 634594, 66; 634595 to 759580, 24; 759581 to 884566, 10; 884567 to 1009552, 3
96641009552
Valid
1,781 · 83.6%
Missing
349 · 16.4%
Distinct
1,776 · 99.7% of valid
Min
9664
25%
212996
Median
291493
75%
368487
Max
1009552

sections_found

integer

How many standard Items were found in the document.

Histogram: 0 to 1, 385; 2 to 2, 21; 3 to 3, 17; 4 to 4, 44; 5 to 6, 444; 7 to 7, 579; 8 to 8, 637; 9 to 9, 3
09
Valid
2,130 · 100%
Missing
0 · 0%
Distinct
10 · 0.5% of valid
Min
0
25%
5
Median
7
75%
8
Max
9

business_chars

integer

Characters in Item 1 Business.

Histogram: 709 to 79296, 1,448; 79297 to 157884, 186; 157885 to 236472, 21; 236473 to 315059, 3; 315060 to 393647, 4; 393648 to 472235, 3; 472236 to 550823, 0; 550824 to 629410, 1
709629410
Valid
1,666 · 78.2%
Missing
464 · 21.8%
Distinct
1,652 · 99.2% of valid
Min
709
25%
25509
Median
37897
75%
58489
Max
629410

risk_factors_chars

integer

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

Histogram: 493 to 60254, 1,269; 60255 to 120016, 281; 120017 to 179777, 21; 179778 to 239539, 8; 239540 to 299301, 0; 299302 to 359062, 0; 359063 to 418824, 0; 418825 to 478585, 1
493478585
Valid
1,580 · 74.2%
Missing
550 · 25.8%
Distinct
1,560 · 98.7% of valid
Min
493
25%
22526
Median
37278
75%
54519
Max
478585

cybersecurity_chars

integer

Characters in Item 1C Cybersecurity.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,130 · 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 17620, 1,004; 17621 to 34841, 17; 34842 to 52062, 2; 52063 to 69283, 2; 69284 to 86504, 1; 86505 to 103725, 0; 103726 to 120946, 0; 120947 to 138166, 1
400138166
Valid
1,027 · 48.2%
Missing
1,103 · 51.8%
Distinct
873 · 85% of valid
Min
400
25%
724
Median
1838
75%
4043
Max
138166

mdna_chars

integer

Characters in Item 7 Management's Discussion and Analysis.

Histogram: 402 to 40339, 411; 40340 to 80276, 753; 80277 to 120213, 320; 120214 to 160150, 78; 160151 to 200087, 23; 200088 to 240024, 8; 240025 to 279961, 4; 279962 to 319898, 2
402319898
Valid
1,599 · 75.1%
Missing
531 · 24.9%
Distinct
1,588 · 99.3% of valid
Min
402
25%
39981
Median
59864
75%
82899
Max
319898

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.

1,603 distinct values, no chart

Valid
1,608 · 75.5%
Missing
522 · 24.5%
Distinct
1,603 · 99.7% 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.

1,196 distinct values, no chart

Valid
1,228 · 57.7%
Missing
902 · 42.3%
Distinct
1,196 · 97.4% of valid

segments

string

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

1,133 distinct values, no chart

Valid
1,140 · 53.5%
Missing
990 · 46.5%
Distinct
1,133 · 99.4% 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.

873 distinct values, no chart

Valid
882 · 41.4%
Missing
1,248 · 58.6%
Distinct
873 · 99% 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.

750 distinct values, no chart

Valid
753 · 35.4%
Missing
1,377 · 64.6%
Distinct
750 · 99.6% of valid

competitors

string

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

1,286 distinct values, no chart

Valid
1,291 · 60.6%
Missing
839 · 39.4%
Distinct
1,286 · 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, 201155%
  • June 30, 20125%
  • September 30, 20124%
  • Other (139)
Valid
1,273 · 59.8%
Missing
857 · 40.2%
Distinct
151 · 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.

932 distinct values, no chart

Valid
1,010 · 47.4%
Missing
1,120 · 52.6%
Distinct
932 · 92.3% 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.

1,157 distinct values, no chart

Valid
1,261 · 59.2%
Missing
869 · 40.8%
Distinct
1,157 · 91.8% 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.

669 distinct values, no chart

Valid
671 · 31.5%
Missing
1,459 · 68.5%
Distinct
669 · 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.

591 distinct values, no chart

Valid
591 · 27.7%
Missing
1,539 · 72.3%
Distinct
591 · 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.

459 distinct values, no chart

Valid
460 · 21.6%
Missing
1,670 · 78.4%
Distinct
459 · 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.

944 distinct values, no chart

Valid
994 · 46.7%
Missing
1,136 · 53.3%
Distinct
944 · 95% of valid

website

string

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

1,264 distinct values, no chart

Valid
1,292 · 60.7%
Missing
838 · 39.3%
Distinct
1,264 · 97.8% of valid

employees_text

string

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

1,382 distinct values, no chart

Valid
1,408 · 66.1%
Missing
722 · 33.9%
Distinct
1,382 · 98.2% of valid

employees_count

integer

Number of employees parsed from employees_text.

Histogram: 1 to 622750, 1,248; 622751 to 1245500, 0; 1245501 to 1868250, 1; 1868251 to 2491000, 1; 2491001 to 3113750, 0; 3113751 to 3736500, 0; 3736501 to 4359250, 0; 4359251 to 4982000, 1
14982000
Valid
1,251 · 58.7%
Missing
879 · 41.3%
Distinct
911 · 72.8% of valid
Min
1
25%
200
Median
1400
75%
6970
Max
4982000

founded_year

integer

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

Histogram: 1784 to 1812, 4; 1813 to 1840, 4; 1841 to 1869, 11; 1870 to 1897, 50; 1898 to 1926, 96; 1927 to 1954, 111; 1955 to 1983, 377; 1984 to 2011, 736
17842011
Valid
1,389 · 65.2%
Missing
741 · 34.8%
Distinct
153 · 11% of valid
Min
1784
25%
1965
Median
1985
75%
1997
Max
2011

extraction_model

string

The extraction model pin that answered.

  • mostlyright/nuextract3-web-g-fp8-24086297100%
Valid
1,637 · 76.9%
Missing
493 · 23.1%
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.

  • Industrials20%
  • Financials18%
  • Information Technology14%
Valid
1,666 · 78.2%
Missing
464 · 21.8%
Distinct
12 · 0.7% of valid

sector_confidence

decimal

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

Histogram: 0.2351 to 0.3278625, 24; 0.3278625 to 0.42062500000000003, 63; 0.42062500000000003 to 0.5133875, 128; 0.5133875 to 0.60614999999999997, 152; 0.60614999999999997 to 0.69891249999999994, 166; 0.69891249999999994 to 0.79167500000000002, 184; 0.79167500000000002 to 0.88443749999999999, 347; 0.88443749999999999 to 0.97719999999999996, 602
0.23510.9772
Valid
1,666 · 78.2%
Missing
464 · 21.8%
Distinct
1,393 · 83.6% of valid
Min
0.2351
25%
0.6321
Median
0.8315
75%
0.9151
Max
0.9772

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.

  • businesses60%
  • both businesses and consumers24%
  • consumers11%
Valid
1,666 · 78.2%
Missing
464 · 21.8%
Distinct
5 · 0.3% of valid

business_model_confidence

decimal

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

Histogram: 0.2266 to 0.32050000000000001, 14; 0.32050000000000001 to 0.41439999999999999, 54; 0.41439999999999999 to 0.50829999999999997, 142; 0.50829999999999997 to 0.60219999999999996, 173; 0.60219999999999996 to 0.69609999999999994, 169; 0.69609999999999994 to 0.79000000000000004, 217; 0.79000000000000004 to 0.88390000000000002, 368; 0.88390000000000002 to 0.9778, 529
0.22660.9778
Valid
1,666 · 78.2%
Missing
464 · 21.8%
Distinct
1,420 · 85.2% of valid
Min
0.2266
25%
0.6213
Median
0.8120
75%
0.9030
Max
0.9778

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 sales44%
  • services or contracts15%
  • interest and lending11%
Valid
1,666 · 78.2%
Missing
464 · 21.8%
Distinct
11 · 0.7% of valid

revenue_model_confidence

decimal

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

Histogram: 0.20100000000000001 to 0.29700000000000004, 38; 0.29700000000000004 to 0.39300000000000002, 95; 0.39300000000000002 to 0.48900000000000005, 132; 0.48900000000000005 to 0.58499999999999996, 140; 0.58499999999999996 to 0.68100000000000005, 179; 0.68100000000000005 to 0.77700000000000014, 296; 0.77700000000000014 to 0.873, 397; 0.873 to 0.96900000000000008, 389
0.20100.9690
Valid
1,666 · 78.2%
Missing
464 · 21.8%
Distinct
1,420 · 85.2% of valid
Min
0.2010
25%
0.5970
Median
0.7629
75%
0.8655
Max
0.9690

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
1,666 · 78.2%
Missing
464 · 21.8%
Distinct
3 · 0.2% of valid

ai_exposure_confidence

decimal

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

Histogram: 0.33960000000000001 to 0.42056250000000001, 4; 0.42056250000000001 to 0.501525, 11; 0.501525 to 0.58248750000000005, 27; 0.58248750000000005 to 0.66344999999999998, 26; 0.66344999999999998 to 0.74441249999999992, 41; 0.74441249999999992 to 0.82537499999999997, 54; 0.82537499999999997 to 0.90633749999999991, 112; 0.90633749999999991 to 0.98729999999999996, 1,391
0.33960.9873
Valid
1,666 · 78.2%
Missing
464 · 21.8%
Distinct
770 · 46.2% of valid
Min
0.3396
25%
0.9379
Median
0.9658
75%
0.9742
Max
0.9873

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 biotech6%
Valid
1,666 · 78.2%
Missing
464 · 21.8%
Distinct
10 · 0.6% of valid

company_type_confidence

decimal

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

Histogram: 0.2402 to 0.33257500000000001, 13; 0.33257500000000001 to 0.42494999999999999, 49; 0.42494999999999999 to 0.51732500000000003, 90; 0.51732500000000003 to 0.60970000000000002, 119; 0.60970000000000002 to 0.702075, 195; 0.702075 to 0.79444999999999999, 377; 0.79444999999999999 to 0.88682499999999997, 526; 0.88682499999999997 to 0.97919999999999996, 297
0.24020.9792
Valid
1,666 · 78.2%
Missing
464 · 21.8%
Distinct
1,373 · 82.4% of valid
Min
0.2402
25%
0.6802
Median
0.7927
75%
0.8624
Max
0.9792

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
1,666 · 78.2%
Missing
464 · 21.8%
Distinct
4 · 0.2% of valid

geographic_focus_confidence

decimal

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

Histogram: 0.3165 to 0.39953749999999999, 6; 0.39953749999999999 to 0.48257499999999998, 45; 0.48257499999999998 to 0.56561250000000007, 96; 0.56561250000000007 to 0.64864999999999995, 117; 0.64864999999999995 to 0.73168750000000005, 113; 0.73168750000000005 to 0.81472500000000003, 172; 0.81472500000000003 to 0.89776250000000002, 333; 0.89776250000000002 to 0.98080000000000001, 784
0.31650.9808
Valid
1,666 · 78.2%
Missing
464 · 21.8%
Distinct
1,283 · 77% of valid
Min
0.3165
25%
0.7523
Median
0.8882
75%
0.9430
Max
0.9808

classification_model

string

The classification model pin that answered.

  • cloudflare/clef-flash-fp8-17f0b0ad100%
Valid
1,666 · 78.2%
Missing
464 · 21.8%
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 demand29%
  • regulation and government policy20%
  • liquidity, debt or going concern13%
  • Other (3)
Valid
1,579 · 74.1%
Missing
551 · 25.9%
Distinct
15 · 1% of valid

top_risk_theme_confidence

decimal

Probability of the top_risk_theme label, 0 to 1.

Histogram: 0.151 to 0.24684999999999999, 95; 0.24684999999999999 to 0.3427, 380; 0.3427 to 0.43855, 372; 0.43855 to 0.53439999999999999, 294; 0.53439999999999999 to 0.63024999999999998, 189; 0.63024999999999998 to 0.72609999999999997, 122; 0.72609999999999997 to 0.82194999999999996, 74; 0.82194999999999996 to 0.91779999999999995, 53
0.15100.9178
Valid
1,579 · 74.1%
Missing
551 · 25.9%
Distinct
1,377 · 87.2% of valid
Min
0.1510
25%
0.3225
Median
0.4226
75%
0.5579
Max
0.9178

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
1,579 · 74.1%
Missing
551 · 25.9%
Distinct
2 · 0.1% of valid

tariff_risk_probability

decimal

Probability the classification model gave tariff_risk, 0 to 1.

Histogram: 0.0063 to 0.12759999999999999, 950; 0.12759999999999999 to 0.24890000000000001, 60; 0.24890000000000001 to 0.37019999999999997, 36; 0.37019999999999997 to 0.49150000000000005, 23; 0.49150000000000005 to 0.61280000000000001, 18; 0.61280000000000001 to 0.73409999999999997, 39; 0.73409999999999997 to 0.85540000000000005, 90; 0.85540000000000005 to 0.97670000000000001, 363
0.00630.9767
Valid
1,579 · 74.1%
Missing
551 · 25.9%
Distinct
782 · 49.5% of valid
Min
0.0063
25%
0.0143
Median
0.0402
75%
0.8289
Max
0.9767

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
1,579 · 74.1%
Missing
551 · 25.9%
Distinct
1 · 0.1% of valid

ai_risk_probability

decimal

Probability the classification model gave ai_risk, 0 to 1.

Histogram: 0.0068999999999999999 to 0.023112500000000001, 1,518; 0.023112500000000001 to 0.039324999999999999, 57; 0.039324999999999999 to 0.055537500000000004, 3; 0.055537500000000004 to 0.071750000000000008, 0; 0.071750000000000008 to 0.087962500000000013, 0; 0.087962500000000013 to 0.104175, 0; 0.104175 to 0.12038750000000001, 0; 0.12038750000000001 to 0.1366, 1
0.00690.1366
Valid
1,579 · 74.1%
Missing
551 · 25.9%
Distinct
165 · 10.4% of valid
Min
0.0069
25%
0.0107
Median
0.0122
75%
0.0152
Max
0.1366

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
1,579 · 74.1%
Missing
551 · 25.9%
Distinct
2 · 0.1% of valid

going_concern_risk_probability

decimal

Probability the classification model gave going_concern_risk, 0 to 1.

Histogram: 0.0080999999999999996 to 0.128775, 1,354; 0.128775 to 0.24945000000000001, 69; 0.24945000000000001 to 0.37012500000000004, 32; 0.37012500000000004 to 0.49080000000000001, 19; 0.49080000000000001 to 0.61147499999999999, 12; 0.61147499999999999 to 0.73215000000000008, 10; 0.73215000000000008 to 0.85282500000000006, 9; 0.85282500000000006 to 0.97350000000000003, 74
0.00810.9735
Valid
1,579 · 74.1%
Missing
551 · 25.9%
Distinct
522 · 33.1% of valid
Min
0.0081
25%
0.0157
Median
0.0219
75%
0.0426
Max
0.9735

business_excerpt

string

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

1,663 distinct values, no chart

Valid
1,666 · 78.2%
Missing
464 · 21.8%
Distinct
1,663 · 99.8% of valid

search_text

string

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

2,127 distinct values, no chart

Valid
2,130 · 100%
Missing
0 · 0%
Distinct
2,127 · 99.9% of valid

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