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Data viewTableSummary
Updated

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

The first build wrote 12 parts and 2,193 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.

2,193 distinct values, no chart

Valid
2,193 · 100%
Missing
0 · 0%
Distinct
2,193 · 100% of valid

cik

integer

SEC CIK of the filer.

Histogram: 1750 to 198640, 409; 198641 to 395530, 73; 395531 to 592421, 0; 592422 to 789311, 192; 789312 to 986202, 460; 986203 to 1183092, 463; 1183093 to 1379983, 258; 1379984 to 1576873, 338
17501576873
Valid
2,193 · 100%
Missing
0 · 0%
Distinct
2,191 · 99.9% of valid
Min
1750
25%
721371
Median
932781
75%
1274494
Max
1576873

listed_cik

integer

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

Histogram: 1750 to 266446, 414; 266447 to 531143, 64; 531144 to 795839, 207; 795840 to 1060536, 640; 1060537 to 1325233, 387; 1325234 to 1589929, 447; 1589930 to 1854626, 22; 1854627 to 2119322, 12
17502119322
Valid
2,193 · 100%
Missing
0 · 0%
Distinct
2,191 · 99.9% of valid
Min
1750
25%
723188
Median
936528
75%
1285550
Max
2119322

ticker

string

Primary ticker, such as AAPL.

2,191 distinct values, no chart

Valid
2,193 · 100%
Missing
0 · 0%
Distinct
2,191 · 99.9% of valid

company_name

string

Company name on the EDGAR index.

2,191 distinct values, no chart

Valid
2,193 · 100%
Missing
0 · 0%
Distinct
2,191 · 99.9% of valid

form

string

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

  • 10-K100%
  • 10-KT0%
Valid
2,193 · 100%
Missing
0 · 0%
Distinct
2 · 0.1% of valid

filed_date

date

Date the report was filed.

Timeline per month: 2013-01-01, 29; 2013-02-01, 761; 2013-03-01, 806; 2013-04-01, 132; 2013-05-01, 51; 2013-06-01, 47; 2013-07-01, 44; 2013-08-01, 66; 2013-09-01, 71; 2013-10-01, 32; 2013-11-01, 84; 2013-12-01, 70
2013-01-012013-12-01

per month

Valid
2,193 · 100%
Missing
0 · 0%
Distinct
208 · 9.5% 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
2,193 · 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
2,193 · 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
2,193 · 100%
Distinct
0 · 0% of valid

doc_url

string

Main document on EDGAR.

2,191 distinct values, no chart

Valid
2,191 · 99.9%
Missing
2 · 0.1%
Distinct
2,191 · 100% of valid

index_url

string

Filing index page on EDGAR.

2,193 distinct values, no chart

Valid
2,193 · 100%
Missing
0 · 0%
Distinct
2,193 · 100% of valid

doc_status

string

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

  • read87%
  • document not read13%
  • index not read0%
Valid
2,193 · 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
2,193 · 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
2,193 · 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
2,193 · 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
2,193 · 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
2,193 · 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
2,193 · 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
2,193 · 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
2,193 · 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
2,193 · 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
2,193 · 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
2,193 · 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
2,193 · 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
2,193 · 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
2,193 · 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
2,193 · 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
1,903 · 86.8%
Missing
290 · 13.2%
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
1,903 · 86.8%
Missing
290 · 13.2%
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, 1,899; 7 to 13, 2; 14 to 20, 0; 21 to 27, 0; 28 to 34, 0; 35 to 41, 0; 42 to 48, 1; 49 to 54, 1
054
Valid
1,903 · 86.8%
Missing
290 · 13.2%
Distinct
9 · 0.5% of valid
Min
0
25%
0
Median
0
75%
0
Max
54

tariff_mentions

integer

Times the report says tariff or tariffs.

Histogram: 0 to 7, 1,868; 8 to 14, 17; 15 to 21, 9; 22 to 28, 1; 29 to 35, 3; 36 to 42, 3; 43 to 49, 1; 50 to 56, 1
056
Valid
1,903 · 86.8%
Missing
290 · 13.2%
Distinct
29 · 1.5% of valid
Min
0
25%
0
Median
0
75%
1
Max
56

doc_chars

integer

Characters of text in the main document.

Histogram: 9683 to 129336, 150; 129337 to 248990, 456; 248991 to 368643, 753; 368644 to 488297, 373; 488298 to 607951, 120; 607952 to 727604, 32; 727605 to 847258, 14; 847259 to 966911, 5
9683966911
Valid
1,903 · 86.8%
Missing
290 · 13.2%
Distinct
1,899 · 99.8% of valid
Min
9683
25%
223629
Median
302923
75%
384232
Max
966911

sections_found

integer

How many standard Items were found in the document.

Histogram: 0 to 1, 329; 2 to 2, 24; 3 to 3, 21; 4 to 4, 43; 5 to 6, 462; 7 to 7, 648; 8 to 8, 662; 9 to 9, 4
09
Valid
2,193 · 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: 710 to 79925, 1,539; 79926 to 159141, 218; 159142 to 238357, 18; 238358 to 317573, 4; 317574 to 396789, 1; 396790 to 476005, 4; 476006 to 555221, 1; 555222 to 634437, 2
710634437
Valid
1,787 · 81.5%
Missing
406 · 18.5%
Distinct
1,758 · 98.4% of valid
Min
710
25%
25208
Median
38878
75%
61447
Max
634437

risk_factors_chars

integer

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

Histogram: 514 to 43457, 927; 43458 to 86400, 603; 86401 to 129343, 129; 129344 to 172286, 28; 172287 to 215230, 7; 215231 to 258173, 2; 258174 to 301116, 1; 301117 to 344059, 2
514344059
Valid
1,699 · 77.5%
Missing
494 · 22.5%
Distinct
1,677 · 98.7% of valid
Min
514
25%
25511
Median
40545
75%
59426
Max
344059

cybersecurity_chars

integer

Characters in Item 1C Cybersecurity.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,193 · 100%
Distinct
0 · 0% of valid

legal_proceedings_chars

integer

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

Histogram: 414 to 48657, 1,069; 48658 to 96900, 2; 96901 to 145144, 1; 145145 to 193387, 0; 193388 to 241631, 0; 241632 to 289874, 0; 289875 to 338118, 0; 338119 to 386361, 1
414386361
Valid
1,073 · 48.9%
Missing
1,120 · 51.1%
Distinct
906 · 84.4% of valid
Min
414
25%
706
Median
1619
75%
3833
Max
386361

mdna_chars

integer

Characters in Item 7 Management's Discussion and Analysis.

Histogram: 403 to 47533, 550; 47534 to 94663, 843; 94664 to 141794, 238; 141795 to 188924, 45; 188925 to 236054, 13; 236055 to 283185, 8; 283186 to 330315, 1; 330316 to 377445, 3
403377445
Valid
1,701 · 77.6%
Missing
492 · 22.4%
Distinct
1,688 · 99.2% of valid
Min
403
25%
41119
Median
61699
75%
85239
Max
377445

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.

1,711 distinct values, no chart

Valid
1,713 · 78.1%
Missing
480 · 21.9%
Distinct
1,711 · 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.

1,256 distinct values, no chart

Valid
1,290 · 58.8%
Missing
903 · 41.2%
Distinct
1,256 · 97.4% of valid

segments

string

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

1,211 distinct values, no chart

Valid
1,217 · 55.5%
Missing
976 · 44.5%
Distinct
1,211 · 99.5% of valid

major_customers

string

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

901 distinct values, no chart

Valid
909 · 41.5%
Missing
1,284 · 58.5%
Distinct
901 · 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.

791 distinct values, no chart

Valid
792 · 36.1%
Missing
1,401 · 63.9%
Distinct
791 · 99.9% of valid

competitors

string

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

1,374 distinct values, no chart

Valid
1,379 · 62.9%
Missing
814 · 37.1%
Distinct
1,374 · 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, 201253%
  • June 30, 20134%
  • September 30, 20134%
  • Other (161)
Valid
1,339 · 61.1%
Missing
854 · 38.9%
Distinct
173 · 12.9% 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.

975 distinct values, no chart

Valid
1,063 · 48.5%
Missing
1,130 · 51.5%
Distinct
975 · 91.7% 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.

1,219 distinct values, no chart

Valid
1,330 · 60.6%
Missing
863 · 39.4%
Distinct
1,219 · 91.7% 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.

716 distinct values, no chart

Valid
717 · 32.7%
Missing
1,476 · 67.3%
Distinct
716 · 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.

597 distinct values, no chart

Valid
597 · 27.2%
Missing
1,596 · 72.8%
Distinct
597 · 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.

456 distinct values, no chart

Valid
456 · 20.8%
Missing
1,737 · 79.2%
Distinct
456 · 100% 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.

1,013 distinct values, no chart

Valid
1,059 · 48.3%
Missing
1,134 · 51.7%
Distinct
1,013 · 95.7% of valid

website

string

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

1,333 distinct values, no chart

Valid
1,353 · 61.7%
Missing
840 · 38.3%
Distinct
1,333 · 98.5% of valid

employees_text

string

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

1,456 distinct values, no chart

Valid
1,489 · 67.9%
Missing
704 · 32.1%
Distinct
1,456 · 97.8% of valid

employees_count

integer

Number of employees parsed from employees_text.

Histogram: 1 to 782125, 1,318; 782126 to 1564250, 0; 1564251 to 2346375, 2; 2346376 to 3128500, 1; 3128501 to 3910625, 0; 3910626 to 4692750, 0; 4692751 to 5474875, 0; 5474876 to 6257000, 1
16257000
Valid
1,322 · 60.3%
Missing
871 · 39.7%
Distinct
919 · 69.5% of valid
Min
1
25%
230
Median
1678
75%
7700
Max
6257000

founded_year

integer

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

Histogram: 1784 to 1812, 4; 1813 to 1841, 5; 1842 to 1869, 16; 1870 to 1898, 57; 1899 to 1927, 104; 1928 to 1955, 126; 1956 to 1984, 404; 1985 to 2012, 756
17842012
Valid
1,472 · 67.1%
Missing
721 · 32.9%
Distinct
161 · 10.9% of valid
Min
1784
25%
1963
Median
1985
75%
1998
Max
2012

extraction_model

string

The extraction model pin that answered.

  • mostlyright/nuextract3-web-g-fp8-24086297100%
Valid
1,747 · 79.7%
Missing
446 · 20.3%
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
1,787 · 81.5%
Missing
406 · 18.5%
Distinct
12 · 0.7% of valid

sector_confidence

decimal

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

Histogram: 0.20619999999999999 to 0.30269999999999997, 17; 0.30269999999999997 to 0.3992, 48; 0.3992 to 0.49569999999999997, 133; 0.49569999999999997 to 0.59220000000000006, 163; 0.59220000000000006 to 0.68870000000000009, 178; 0.68870000000000009 to 0.7851999999999999, 200; 0.7851999999999999 to 0.88169999999999993, 377; 0.88169999999999993 to 0.97819999999999996, 671
0.20620.9782
Valid
1,787 · 81.5%
Missing
406 · 18.5%
Distinct
1,467 · 82.1% of valid
Min
0.2062
25%
0.6445
Median
0.8339
75%
0.9194
Max
0.9782

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
1,787 · 81.5%
Missing
406 · 18.5%
Distinct
5 · 0.3% of valid

business_model_confidence

decimal

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

Histogram: 0.2293 to 0.32264999999999999, 24; 0.32264999999999999 to 0.41599999999999998, 61; 0.41599999999999998 to 0.50934999999999997, 137; 0.50934999999999997 to 0.60270000000000001, 163; 0.60270000000000001 to 0.69604999999999995, 194; 0.69604999999999995 to 0.78939999999999988, 218; 0.78939999999999988 to 0.88274999999999992, 403; 0.88274999999999992 to 0.97609999999999997, 587
0.22930.9761
Valid
1,787 · 81.5%
Missing
406 · 18.5%
Distinct
1,454 · 81.4% of valid
Min
0.2293
25%
0.6299
Median
0.8171
75%
0.9043
Max
0.9761

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 contracts16%
  • interest and lending11%
Valid
1,787 · 81.5%
Missing
406 · 18.5%
Distinct
11 · 0.6% of valid

revenue_model_confidence

decimal

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

Histogram: 0.20180000000000001 to 0.29744999999999999, 38; 0.29744999999999999 to 0.3931, 107; 0.3931 to 0.48875000000000002, 131; 0.48875000000000002 to 0.58440000000000003, 145; 0.58440000000000003 to 0.68005000000000004, 192; 0.68005000000000004 to 0.77569999999999995, 311; 0.77569999999999995 to 0.87134999999999996, 438; 0.87134999999999996 to 0.96699999999999997, 425
0.20180.9670
Valid
1,787 · 81.5%
Missing
406 · 18.5%
Distinct
1,514 · 84.7% of valid
Min
0.2018
25%
0.6009
Median
0.7683
75%
0.8685
Max
0.9670

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
1,787 · 81.5%
Missing
406 · 18.5%
Distinct
3 · 0.2% of valid

ai_exposure_confidence

decimal

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

Histogram: 0.3206 to 0.4039625, 4; 0.4039625 to 0.48732500000000001, 14; 0.48732500000000001 to 0.57068750000000001, 26; 0.57068750000000001 to 0.65405000000000002, 40; 0.65405000000000002 to 0.73741250000000003, 38; 0.73741250000000003 to 0.82077500000000003, 61; 0.82077500000000003 to 0.90413750000000004, 134; 0.90413750000000004 to 0.98750000000000004, 1,470
0.32060.9875
Valid
1,787 · 81.5%
Missing
406 · 18.5%
Distinct
818 · 45.8% of valid
Min
0.3206
25%
0.9350
Median
0.9651
75%
0.9738
Max
0.9875

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 company67%
  • bank or lender9%
  • clinical-stage biotech6%
Valid
1,787 · 81.5%
Missing
406 · 18.5%
Distinct
10 · 0.6% of valid

company_type_confidence

decimal

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

Histogram: 0.26500000000000001 to 0.3540625, 17; 0.3540625 to 0.44312499999999999, 65; 0.44312499999999999 to 0.53218750000000004, 112; 0.53218750000000004 to 0.62125000000000008, 120; 0.62125000000000008 to 0.71031250000000001, 229; 0.71031250000000001 to 0.79937500000000006, 430; 0.79937500000000006 to 0.88843749999999999, 522; 0.88843749999999999 to 0.97750000000000004, 292
0.26500.9775
Valid
1,787 · 81.5%
Missing
406 · 18.5%
Distinct
1,484 · 83% of valid
Min
0.2650
25%
0.6768
Median
0.7850
75%
0.8570
Max
0.9775

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
1,787 · 81.5%
Missing
406 · 18.5%
Distinct
4 · 0.2% of valid

geographic_focus_confidence

decimal

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

Histogram: 0.31519999999999998 to 0.39853749999999999, 5; 0.39853749999999999 to 0.481875, 41; 0.481875 to 0.56521250000000001, 103; 0.56521250000000001 to 0.64854999999999996, 121; 0.64854999999999996 to 0.73188750000000002, 149; 0.73188750000000002 to 0.81522500000000009, 160; 0.81522500000000009 to 0.89856249999999993, 353; 0.89856249999999993 to 0.9819, 855
0.31520.9819
Valid
1,787 · 81.5%
Missing
406 · 18.5%
Distinct
1,335 · 74.7% of valid
Min
0.3152
25%
0.7480
Median
0.8930
75%
0.9434
Max
0.9819

classification_model

string

The classification model pin that answered.

  • cloudflare/clef-flash-fp8-17f0b0ad100%
Valid
1,787 · 81.5%
Missing
406 · 18.5%
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 demand26%
  • regulation and government policy22%
  • competition11%
  • Other (3)
Valid
1,699 · 77.5%
Missing
494 · 22.5%
Distinct
15 · 0.9% of valid

top_risk_theme_confidence

decimal

Probability of the top_risk_theme label, 0 to 1.

Histogram: 0.16689999999999999 to 0.26111249999999997, 168; 0.26111249999999997 to 0.355325, 409; 0.355325 to 0.44953749999999998, 396; 0.44953749999999998 to 0.54374999999999996, 284; 0.54374999999999996 to 0.63796249999999999, 181; 0.63796249999999999 to 0.73217500000000002, 135; 0.73217500000000002 to 0.82638750000000005, 79; 0.82638750000000005 to 0.92060000000000008, 47
0.16690.9206
Valid
1,699 · 77.5%
Missing
494 · 22.5%
Distinct
1,468 · 86.4% of valid
Min
0.1669
25%
0.3191
Median
0.4172
75%
0.5521
Max
0.9206

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
1,699 · 77.5%
Missing
494 · 22.5%
Distinct
2 · 0.1% of valid

tariff_risk_probability

decimal

Probability the classification model gave tariff_risk, 0 to 1.

Histogram: 0.0061999999999999998 to 0.127225, 1,012; 0.127225 to 0.24825000000000003, 65; 0.24825000000000003 to 0.36927500000000002, 33; 0.36927500000000002 to 0.49030000000000001, 27; 0.49030000000000001 to 0.61132500000000001, 23; 0.61132500000000001 to 0.73235000000000006, 47; 0.73235000000000006 to 0.85337499999999999, 77; 0.85337499999999999 to 0.97440000000000004, 415
0.00620.9744
Valid
1,699 · 77.5%
Missing
494 · 22.5%
Distinct
815 · 48% of valid
Min
0.0062
25%
0.0150
Median
0.0455
75%
0.8429
Max
0.9744

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
1,699 · 77.5%
Missing
494 · 22.5%
Distinct
1 · 0.1% of valid

ai_risk_probability

decimal

Probability the classification model gave ai_risk, 0 to 1.

Histogram: 0.0071999999999999998 to 0.024799999999999996, 1,640; 0.024799999999999996 to 0.042399999999999993, 57; 0.042399999999999993 to 0.059999999999999991, 0; 0.059999999999999991 to 0.077599999999999988, 0; 0.077599999999999988 to 0.095199999999999993, 1; 0.095199999999999993 to 0.11279999999999998, 0; 0.11279999999999998 to 0.13039999999999999, 0; 0.13039999999999999 to 0.14799999999999999, 1
0.00720.1480
Valid
1,699 · 77.5%
Missing
494 · 22.5%
Distinct
173 · 10.2% of valid
Min
0.0072
25%
0.0108
Median
0.0128
75%
0.0157
Max
0.1480

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
1,699 · 77.5%
Missing
494 · 22.5%
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 0.1292625, 1,473; 0.1292625 to 0.25032500000000002, 70; 0.25032500000000002 to 0.37138749999999998, 30; 0.37138749999999998 to 0.49245, 16; 0.49245 to 0.61351250000000002, 3; 0.61351250000000002 to 0.73457499999999998, 12; 0.73457499999999998 to 0.85563750000000005, 8; 0.85563750000000005 to 0.97670000000000001, 87
0.00820.9767
Valid
1,699 · 77.5%
Missing
494 · 22.5%
Distinct
523 · 30.8% of valid
Min
0.0082
25%
0.0154
Median
0.0213
75%
0.0402
Max
0.9767

business_excerpt

string

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

1,787 distinct values, no chart

Valid
1,787 · 81.5%
Missing
406 · 18.5%
Distinct
1,787 · 100% of valid

search_text

string

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

2,193 distinct values, no chart

Valid
2,193 · 100%
Missing
0 · 0%
Distinct
2,193 · 100% of valid

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