--- dataset_info: features: - name: cik dtype: int64 - name: company_name dtype: string - name: filing_date dtype: timestamp[ns] - name: Business dtype: string - name: Risk Factors dtype: string - name: Unresolved Staff Comments dtype: string - name: Properties dtype: string - name: Legal Proceedings dtype: string - name: Mine Safety Disclosures dtype: string - name: Market for Registrant’s Common Equity, Related Stockholder Matters and Issuer Purchases of Equity Securities dtype: string - name: Selected Financial Data dtype: string - name: Management’s Discussion and Analysis of Financial Condition and Results of Operations dtype: string - name: Quantitative and Qualitative Disclosures about Market Risk dtype: string - name: Financial Statements and Supplementary Data dtype: string - name: Changes in and Disagreements with Accountants on Accounting and Financial Disclosure dtype: string - name: Controls and Procedures dtype: string - name: Other Information dtype: string - name: Directors, Executive Officers and Corporate Governance dtype: string - name: Executive Compensation dtype: string - name: Security Ownership of Certain Beneficial Owners and Management and Related Stockholder Matters dtype: string - name: Certain Relationships and Related Transactions, and Director Independence dtype: string - name: Principal Accountant Fees and Services dtype: string - name: Exhibits, Financial Statement Schedules dtype: string splits: - name: '001' num_bytes: 1305976147 num_examples: 5000 - name: '002' num_bytes: 1547107096 num_examples: 5000 - name: '003' num_bytes: 1500950344 num_examples: 5000 - name: '004' num_bytes: 938669696 num_examples: 3000 - name: '005' num_bytes: 1161187900 num_examples: 4000 - name: '006' num_bytes: 937988835 num_examples: 3000 - name: '007' num_bytes: 694775532 num_examples: 2000 - name: '008' num_bytes: 866183252 num_examples: 3000 - name: '009' num_bytes: 705057218 num_examples: 3000 - name: '010' num_bytes: 705057218 num_examples: 3000 - name: '011' num_bytes: 885667244 num_examples: 2000 - name: '012' num_bytes: 329414277 num_examples: 2000 - name: '013' num_bytes: 739146986 num_examples: 3000 - name: '014' num_bytes: 458266896 num_examples: 1000 - name: '015' num_bytes: 710988934 num_examples: 2000 - name: '016' num_bytes: 250689742 num_examples: 2000 - name: '017' num_bytes: 474864951 num_examples: 2000 - name: '018' num_bytes: 615827939 num_examples: 2000 - name: '019' num_bytes: 357457451 num_examples: 1000 - name: '020' num_bytes: 584057786 num_examples: 2000 - name: '021' num_bytes: 141712850 num_examples: 2000 - name: '022' num_bytes: 503977366 num_examples: 2000 - name: '023' num_bytes: 468353001 num_examples: 2000 - name: '024' num_bytes: 450924639 num_examples: 1000 - name: '025' num_bytes: 504057453 num_examples: 2000 - name: '026' num_bytes: 169593248 num_examples: 2000 - name: '027' num_bytes: 464799632 num_examples: 2000 - name: '028' num_bytes: 297637001 num_examples: 1000 - name: '029' num_bytes: 368760540 num_examples: 1000 - name: '030' num_bytes: 319606303 num_examples: 1000 - name: '031' num_bytes: 394028378 num_examples: 2000 - name: '032' num_bytes: 343965348 num_examples: 2000 - name: '033' num_bytes: 522452994 num_examples: 1999 - name: '034' num_bytes: 509087440 num_examples: 1000 - name: '035' num_bytes: 509775862 num_examples: 1001 - name: '036' num_bytes: 437503604 num_examples: 1000 - name: '037' num_bytes: 610792518 num_examples: 2000 - name: '038' num_bytes: 581885486 num_examples: 2000 - name: '039' num_bytes: 350277811 num_examples: 1000 - name: '040' num_bytes: 627141247 num_examples: 1500 - name: '041' num_bytes: 305018992 num_examples: 700 - name: '042' num_bytes: 555710158 num_examples: 600 - name: '043' num_bytes: 593433327 num_examples: 500 - name: '044' num_bytes: 352017311 num_examples: 700 - name: '045' num_bytes: 342614047 num_examples: 1000 - name: '046' num_bytes: 323563296 num_examples: 1000 - name: '047' num_bytes: 236981244 num_examples: 1000 - name: '048' num_bytes: 622649279 num_examples: 1000 - name: '049' num_bytes: 358151664 num_examples: 1000 - name: '050' num_bytes: 661144363 num_examples: 1000 - name: '051' num_bytes: 421673110 num_examples: 400 - name: '052' num_bytes: 317359748 num_examples: 100 download_size: 13361256647 dataset_size: 29477068619 configs: - config_name: default data_files: - split: '001' path: data/001-* - split: '002' path: data/002-* - split: '003' path: data/003-* - split: '004' path: data/004-* - split: '005' path: data/005-* - split: '006' path: data/006-* - split: '007' path: data/007-* - split: '008' path: data/008-* - split: '009' path: data/009-* - split: '010' path: data/010-* - split: '011' path: data/011-* - split: '012' path: data/012-* - split: '013' path: data/013-* - split: '014' path: data/014-* - split: '015' path: data/015-* - split: '016' path: data/016-* - split: '017' path: data/017-* - split: '018' path: data/018-* - split: '019' path: data/019-* - split: '020' path: data/020-* - split: '021' path: data/021-* - split: '022' path: data/022-* - split: '023' path: data/023-* - split: '024' path: data/024-* - split: '025' path: data/025-* - split: '026' path: data/026-* - split: '027' path: data/027-* - split: '028' path: data/028-* - split: '029' path: data/029-* - split: '030' path: data/030-* - split: '031' path: data/031-* - split: '032' path: data/032-* - split: '033' path: data/033-* - split: '034' path: data/034-* - split: '035' path: data/035-* - split: '036' path: data/036-* - split: '037' path: data/037-* - split: '038' path: data/038-* - split: '039' path: data/039-* - split: '040' path: data/040-* - split: '041' path: data/041-* - split: '042' path: data/042-* - split: '043' path: data/043-* - split: '044' path: data/044-* - split: '045' path: data/045-* - split: '046' path: data/046-* - split: '047' path: data/047-* - split: '048' path: data/048-* - split: '049' path: data/049-* - split: '050' path: data/050-* - split: '051' path: data/051-* - split: '052' path: data/052-* --- # Dataset Card for "10-K_sec_filings" Dataset of 93.5K 10K SEC EDGAR filings since 1999 year. This dataset contains a lot of bad parsed filings and also empty rows [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)