Loading dataset
Data viewTableSummary
Data viewTableSummary
Updated

2.7 MB across 12 parts, newest sealed 31 October 2026 at 23:38 UTC.

The first build wrote 12 parts and 2,069 rows.

ONE_ROW_PER_REPORT passed.

AUDITOR_MOSTLY_TAGGED passed.

DESCRIPTIONS_MOSTLY_FOUND failed.

CONFIDENCE_IS_PROBABILITY passed.

ABOUT_3000_REPORTS passed.

accession

string

The SEC accession number of the annual report.

2,069 distinct values, no chart

Valid
2,069 · 100%
Missing
0 · 0%
Distinct
2,069 · 100% of valid

cik

integer

SEC CIK of the filer.

Histogram: 1750 to 190188, 417; 190189 to 378627, 72; 378628 to 567066, 0; 567067 to 755505, 145; 755506 to 943944, 498; 943945 to 1132383, 399; 1132384 to 1320822, 215; 1320823 to 1509261, 323
17501509261
Valid
2,069 · 100%
Missing
0 · 0%
Distinct
2,057 · 99.4% of valid
Min
1750
25%
711669
Median
912061
75%
1142750
Max
1509261

listed_cik

integer

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

Histogram: 1750 to 266446, 418; 266447 to 531143, 63; 531144 to 795839, 215; 795840 to 1060536, 641; 1060537 to 1325233, 379; 1325234 to 1589929, 320; 1589930 to 1854626, 21; 1854627 to 2119322, 12
17502119322
Valid
2,069 · 100%
Missing
0 · 0%
Distinct
2,057 · 99.4% of valid
Min
1750
25%
714395
Median
914156
75%
1166003
Max
2119322

ticker

string

Primary ticker, such as AAPL.

2,057 distinct values, no chart

Valid
2,069 · 100%
Missing
0 · 0%
Distinct
2,057 · 99.4% of valid

company_name

string

Company name on the EDGAR index.

2,057 distinct values, no chart

Valid
2,069 · 100%
Missing
0 · 0%
Distinct
2,057 · 99.4% of valid

form

string

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

  • 10-K100%
  • 10-KT0%
Valid
2,069 · 100%
Missing
0 · 0%
Distinct
2 · 0.1% of valid

filed_date

date

Date the report was filed.

Timeline per month: 2011-01-01, 32; 2011-02-01, 669; 2011-03-01, 853; 2011-04-01, 61; 2011-05-01, 43; 2011-06-01, 54; 2011-07-01, 38; 2011-08-01, 61; 2011-09-01, 78; 2011-10-01, 25; 2011-11-01, 83; 2011-12-01, 72
2011-01-012011-12-01

per month

Valid
2,069 · 100%
Missing
0 · 0%
Distinct
207 · 10% 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
2,069 · 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
2,069 · 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
2,069 · 100%
Distinct
0 · 0% of valid

doc_url

string

Main document on EDGAR.

2,058 distinct values, no chart

Valid
2,058 · 99.5%
Missing
11 · 0.5%
Distinct
2,058 · 100% of valid

index_url

string

Filing index page on EDGAR.

2,069 distinct values, no chart

Valid
2,069 · 100%
Missing
0 · 0%
Distinct
2,069 · 100% of valid

doc_status

string

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

  • read68%
  • document not read31%
  • index not read1%
Valid
2,069 · 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
2,069 · 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
2,069 · 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
2,069 · 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
2,069 · 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
2,069 · 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
2,069 · 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
2,069 · 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
2,069 · 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
2,069 · 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
2,069 · 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
2,069 · 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
2,069 · 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
2,069 · 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
2,069 · 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
2,069 · 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
1,416 · 68.4%
Missing
653 · 31.6%
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
1,416 · 68.4%
Missing
653 · 31.6%
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, 1,414; 8 to 14, 1; 15 to 21, 0; 22 to 28, 0; 29 to 35, 0; 36 to 42, 0; 43 to 49, 0; 50 to 56, 1
056
Valid
1,416 · 68.4%
Missing
653 · 31.6%
Distinct
7 · 0.5% of valid
Min
0
25%
0
Median
0
75%
0
Max
56

tariff_mentions

integer

Times the report says tariff or tariffs.

Histogram: 0 to 6, 1,384; 7 to 13, 15; 14 to 19, 8; 20 to 26, 3; 27 to 33, 1; 34 to 39, 3; 40 to 46, 1; 47 to 52, 1
052
Valid
1,416 · 68.4%
Missing
653 · 31.6%
Distinct
27 · 1.9% of valid
Min
0
25%
0
Median
0
75%
1
Max
52

doc_chars

integer

Characters of text in the main document.

Histogram: 9484 to 131250, 178; 131251 to 253016, 406; 253017 to 374782, 529; 374783 to 496548, 215; 496549 to 618315, 56; 618316 to 740081, 18; 740082 to 861847, 8; 861848 to 983613, 6
9484983613
Valid
1,416 · 68.4%
Missing
653 · 31.6%
Distinct
1,414 · 99.9% of valid
Min
9484
25%
192319
Median
277451
75%
359151
Max
983613

sections_found

integer

How many standard Items were found in the document.

Histogram: 0 to 1, 693; 2 to 2, 21; 3 to 3, 14; 4 to 4, 39; 5 to 6, 369; 7 to 7, 406; 8 to 8, 522; 9 to 9, 5
09
Valid
2,069 · 100%
Missing
0 · 0%
Distinct
10 · 0.5% of valid
Min
0
25%
0
Median
6
75%
8
Max
9

business_chars

integer

Characters in Item 1 Business.

Histogram: 645 to 62133, 1,019; 62134 to 123621, 238; 123622 to 185110, 29; 185111 to 246598, 9; 246599 to 308087, 5; 308088 to 369575, 1; 369576 to 431064, 0; 431065 to 492552, 1
645492552
Valid
1,302 · 62.9%
Missing
767 · 37.1%
Distinct
1,288 · 98.9% of valid
Min
645
25%
23617
Median
37298
75%
58220
Max
492552

risk_factors_chars

integer

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

Histogram: 493 to 59164, 1,017; 59165 to 117835, 188; 117836 to 176507, 19; 176508 to 235178, 3; 235179 to 293849, 0; 293850 to 352521, 0; 352522 to 411192, 0; 411193 to 469863, 1
493469863
Valid
1,228 · 59.4%
Missing
841 · 40.6%
Distinct
1,221 · 99.4% of valid
Min
493
25%
21127
Median
34365
75%
50576
Max
469863

cybersecurity_chars

integer

Characters in Item 1C Cybersecurity.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,069 · 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 44302, 892; 44303 to 88205, 6; 88206 to 132108, 1; 132109 to 176011, 0; 176012 to 219914, 0; 219915 to 263817, 1; 263818 to 307720, 0; 307721 to 351622, 1
400351622
Valid
901 · 43.5%
Missing
1,168 · 56.5%
Distinct
799 · 88.7% of valid
Min
400
25%
719
Median
2273
75%
5211
Max
351622

mdna_chars

integer

Characters in Item 7 Management's Discussion and Analysis.

Histogram: 402 to 53982, 572; 53983 to 107562, 542; 107563 to 161143, 102; 161144 to 214723, 16; 214724 to 268304, 8; 268305 to 321884, 2; 321885 to 375465, 0; 375466 to 429045, 1
402429045
Valid
1,243 · 60.1%
Missing
826 · 39.9%
Distinct
1,237 · 99.5% of valid
Min
402
25%
36685
Median
57545
75%
81173
Max
429045

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.

1,247 distinct values, no chart

Valid
1,248 · 60.3%
Missing
821 · 39.7%
Distinct
1,247 · 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.

906 distinct values, no chart

Valid
940 · 45.4%
Missing
1,129 · 54.6%
Distinct
906 · 96.4% of valid

segments

string

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

866 distinct values, no chart

Valid
869 · 42%
Missing
1,200 · 58%
Distinct
866 · 99.7% 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.

650 distinct values, no chart

Valid
657 · 31.8%
Missing
1,412 · 68.2%
Distinct
650 · 98.9% 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.

552 distinct values, no chart

Valid
553 · 26.7%
Missing
1,516 · 73.3%
Distinct
552 · 99.8% of valid

competitors

string

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

990 distinct values, no chart

Valid
992 · 47.9%
Missing
1,077 · 52.1%
Distinct
990 · 99.8% 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, 201052%
  • June 30, 20115%
  • September 30, 20114%
  • Other (123)
Valid
989 · 47.8%
Missing
1,080 · 52.2%
Distinct
135 · 13.7% 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.

734 distinct values, no chart

Valid
775 · 37.5%
Missing
1,294 · 62.5%
Distinct
734 · 94.7% 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.

882 distinct values, no chart

Valid
967 · 46.7%
Missing
1,102 · 53.3%
Distinct
882 · 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.

494 distinct values, no chart

Valid
494 · 23.9%
Missing
1,575 · 76.1%
Distinct
494 · 100% 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.

425 distinct values, no chart

Valid
426 · 20.6%
Missing
1,643 · 79.4%
Distinct
425 · 99.8% 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.

337 distinct values, no chart

Valid
338 · 16.3%
Missing
1,731 · 83.7%
Distinct
337 · 99.7% 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.

740 distinct values, no chart

Valid
783 · 37.8%
Missing
1,286 · 62.2%
Distinct
740 · 94.5% of valid

website

string

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

974 distinct values, no chart

Valid
990 · 47.8%
Missing
1,079 · 52.2%
Distinct
974 · 98.4% of valid

employees_text

string

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

1,081 distinct values, no chart

Valid
1,110 · 53.6%
Missing
959 · 46.4%
Distinct
1,081 · 97.4% of valid

employees_count

integer

Number of employees parsed from employees_text.

Histogram: 1 to 580500, 979; 580501 to 1161000, 0; 1161001 to 1741500, 0; 1741501 to 2322000, 2; 2322001 to 2902500, 0; 2902501 to 3483000, 0; 3483001 to 4063500, 0; 4063501 to 4644000, 1
14644000
Valid
982 · 47.5%
Missing
1,087 · 52.5%
Distinct
709 · 72.2% of valid
Min
1
25%
165
Median
1123
75%
5893
Max
4644000

founded_year

integer

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

Histogram: 1784 to 1812, 4; 1813 to 1840, 6; 1841 to 1869, 10; 1870 to 1897, 36; 1898 to 1925, 68; 1926 to 1954, 90; 1955 to 1982, 274; 1983 to 2010, 585
17842010
Valid
1,073 · 51.9%
Missing
996 · 48.1%
Distinct
150 · 14% of valid
Min
1784
25%
1965
Median
1984
75%
1996
Max
2010

extraction_model

string

The extraction model pin that answered.

  • mostlyright/nuextract3-web-g-fp8-24086297100%
Valid
1,279 · 61.8%
Missing
790 · 38.2%
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.

  • Industrials19%
  • Financials19%
  • Information Technology14%
Valid
1,302 · 62.9%
Missing
767 · 37.1%
Distinct
12 · 0.9% of valid

sector_confidence

decimal

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

Histogram: 0.2135 to 0.30890000000000001, 8; 0.30890000000000001 to 0.40429999999999999, 50; 0.40429999999999999 to 0.49970000000000003, 80; 0.49970000000000003 to 0.59509999999999996, 124; 0.59509999999999996 to 0.6905, 134; 0.6905 to 0.78590000000000004, 145; 0.78590000000000004 to 0.88129999999999997, 275; 0.88129999999999997 to 0.97670000000000001, 486
0.21350.9767
Valid
1,302 · 62.9%
Missing
767 · 37.1%
Distinct
1,121 · 86.1% of valid
Min
0.2135
25%
0.6452
Median
0.8338
75%
0.9158
Max
0.9767

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.

  • businesses59%
  • both businesses and consumers25%
  • consumers11%
Valid
1,302 · 62.9%
Missing
767 · 37.1%
Distinct
5 · 0.4% of valid

business_model_confidence

decimal

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

Histogram: 0.26040000000000002 to 0.35007500000000003, 28; 0.35007500000000003 to 0.43975000000000003, 52; 0.43975000000000003 to 0.52942500000000003, 133; 0.52942500000000003 to 0.61909999999999998, 112; 0.61909999999999998 to 0.70877500000000004, 124; 0.70877500000000004 to 0.7984500000000001, 169; 0.7984500000000001 to 0.88812500000000005, 293; 0.88812500000000005 to 0.9778, 391
0.26040.9778
Valid
1,302 · 62.9%
Missing
767 · 37.1%
Distinct
1,127 · 86.6% of valid
Min
0.2604
25%
0.6197
Median
0.8109
75%
0.9035
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 sales42%
  • services or contracts16%
  • interest and lending13%
Valid
1,302 · 62.9%
Missing
767 · 37.1%
Distinct
11 · 0.8% of valid

revenue_model_confidence

decimal

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

Histogram: 0.1988 to 0.294375, 26; 0.294375 to 0.38995000000000002, 76; 0.38995000000000002 to 0.48552499999999998, 108; 0.48552499999999998 to 0.58110000000000006, 94; 0.58110000000000006 to 0.67667500000000003, 134; 0.67667500000000003 to 0.77224999999999999, 238; 0.77224999999999999 to 0.86782500000000007, 301; 0.86782500000000007 to 0.96340000000000003, 325
0.19880.9634
Valid
1,302 · 62.9%
Missing
767 · 37.1%
Distinct
1,142 · 87.7% of valid
Min
0.1988
25%
0.5943
Median
0.7611
75%
0.8678
Max
0.9634

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.

  • none99%
  • peripheral1%
  • significant0%
Valid
1,302 · 62.9%
Missing
767 · 37.1%
Distinct
3 · 0.2% of valid

ai_exposure_confidence

decimal

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

Histogram: 0.37380000000000002 to 0.45048750000000004, 6; 0.45048750000000004 to 0.52717499999999995, 13; 0.52717499999999995 to 0.60386249999999997, 16; 0.60386249999999997 to 0.68054999999999999, 17; 0.68054999999999999 to 0.75723750000000001, 22; 0.75723750000000001 to 0.83392500000000003, 35; 0.83392500000000003 to 0.91061249999999994, 96; 0.91061249999999994 to 0.98729999999999996, 1,097
0.37380.9873
Valid
1,302 · 62.9%
Missing
767 · 37.1%
Distinct
624 · 47.9% of valid
Min
0.3738
25%
0.9431
Median
0.9677
75%
0.9750
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 company64%
  • bank or lender10%
  • clinical-stage biotech6%
Valid
1,302 · 62.9%
Missing
767 · 37.1%
Distinct
10 · 0.8% of valid

company_type_confidence

decimal

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

Histogram: 0.26800000000000002 to 0.3566125, 16; 0.3566125 to 0.44522499999999998, 40; 0.44522499999999998 to 0.53383749999999996, 73; 0.53383749999999996 to 0.62244999999999995, 97; 0.62244999999999995 to 0.71106249999999993, 154; 0.71106249999999993 to 0.79967500000000002, 287; 0.79967500000000002 to 0.88828750000000001, 389; 0.88828750000000001 to 0.97689999999999999, 246
0.26800.9769
Valid
1,302 · 62.9%
Missing
767 · 37.1%
Distinct
1,139 · 87.5% of valid
Min
0.2680
25%
0.6834
Median
0.7949
75%
0.8679
Max
0.9769

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 States60%
  • global35%
  • mostly outside the United States5%
Valid
1,302 · 62.9%
Missing
767 · 37.1%
Distinct
4 · 0.3% of valid

geographic_focus_confidence

decimal

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

Histogram: 0.3448 to 0.42415000000000003, 12; 0.42415000000000003 to 0.50350000000000006, 51; 0.50350000000000006 to 0.58284999999999998, 80; 0.58284999999999998 to 0.66220000000000001, 82; 0.66220000000000001 to 0.74155000000000004, 105; 0.74155000000000004 to 0.82089999999999996, 123; 0.82089999999999996 to 0.90024999999999999, 258; 0.90024999999999999 to 0.97960000000000003, 591
0.34480.9796
Valid
1,302 · 62.9%
Missing
767 · 37.1%
Distinct
1,047 · 80.4% of valid
Min
0.3448
25%
0.7401
Median
0.8887
75%
0.9408
Max
0.9796

classification_model

string

The classification model pin that answered.

  • cloudflare/clef-flash-fp8-17f0b0ad100%
Valid
1,302 · 62.9%
Missing
767 · 37.1%
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 demand27%
  • regulation and government policy20%
  • liquidity, debt or going concern14%
  • Other (3)
Valid
1,227 · 59.3%
Missing
842 · 40.7%
Distinct
15 · 1.2% of valid

top_risk_theme_confidence

decimal

Probability of the top_risk_theme label, 0 to 1.

Histogram: 0.17780000000000001 to 0.27211249999999998, 122; 0.27211249999999998 to 0.366425, 280; 0.366425 to 0.46073749999999997, 270; 0.46073749999999997 to 0.55505000000000004, 221; 0.55505000000000004 to 0.64936250000000006, 140; 0.64936250000000006 to 0.74367499999999986, 114; 0.74367499999999986 to 0.83798749999999989, 51; 0.83798749999999989 to 0.93229999999999991, 29
0.17780.9323
Valid
1,227 · 59.3%
Missing
842 · 40.7%
Distinct
1,105 · 90.1% of valid
Min
0.1778
25%
0.3339
Median
0.4406
75%
0.5700
Max
0.9323

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).

  • false69%
  • true31%
Valid
1,227 · 59.3%
Missing
842 · 40.7%
Distinct
2 · 0.2% of valid

tariff_risk_probability

decimal

Probability the classification model gave tariff_risk, 0 to 1.

Histogram: 0.0061000000000000004 to 0.1272625, 768; 0.1272625 to 0.24842500000000001, 44; 0.24842500000000001 to 0.36958750000000001, 23; 0.36958750000000001 to 0.49075000000000002, 11; 0.49075000000000002 to 0.61191250000000008, 14; 0.61191250000000008 to 0.73307500000000003, 26; 0.73307500000000003 to 0.85423749999999998, 66; 0.85423749999999998 to 0.97540000000000004, 275
0.00610.9754
Valid
1,227 · 59.3%
Missing
842 · 40.7%
Distinct
629 · 51.3% of valid
Min
0.0061
25%
0.0138
Median
0.0370
75%
0.8105
Max
0.9754

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
1,227 · 59.3%
Missing
842 · 40.7%
Distinct
1 · 0.1% of valid

ai_risk_probability

decimal

Probability the classification model gave ai_risk, 0 to 1.

Histogram: 0.0071999999999999998 to 0.020299999999999999, 1,163; 0.020299999999999999 to 0.033399999999999999, 59; 0.033399999999999999 to 0.0465, 2; 0.0465 to 0.0596, 2; 0.0596 to 0.072700000000000001, 0; 0.072700000000000001 to 0.085800000000000001, 0; 0.085800000000000001 to 0.098900000000000002, 0; 0.098900000000000002 to 0.112, 1
0.00720.1120
Valid
1,227 · 59.3%
Missing
842 · 40.7%
Distinct
146 · 11.9% of valid
Min
0.0072
25%
0.0103
Median
0.0119
75%
0.0143
Max
0.1120

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
1,227 · 59.3%
Missing
842 · 40.7%
Distinct
2 · 0.2% of valid

going_concern_risk_probability

decimal

Probability the classification model gave going_concern_risk, 0 to 1.

Histogram: 0.0080999999999999996 to 0.12891250000000001, 1,041; 0.12891250000000001 to 0.249725, 56; 0.249725 to 0.37053750000000002, 20; 0.37053750000000002 to 0.49135000000000001, 18; 0.49135000000000001 to 0.61216250000000005, 15; 0.61216250000000005 to 0.73297500000000004, 8; 0.73297500000000004 to 0.85378750000000003, 12; 0.85378750000000003 to 0.97460000000000002, 57
0.00810.9746
Valid
1,227 · 59.3%
Missing
842 · 40.7%
Distinct
483 · 39.4% of valid
Min
0.0081
25%
0.0162
Median
0.0230
75%
0.0518
Max
0.9746

business_excerpt

string

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

1,301 distinct values, no chart

Valid
1,302 · 62.9%
Missing
767 · 37.1%
Distinct
1,301 · 99.9% of valid

search_text

string

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

2,061 distinct values, no chart

Valid
2,069 · 100%
Missing
0 · 0%
Distinct
2,061 · 99.6% of valid

Support

Talk to Mostly Right

Loading chat…