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| pretty_name: SEC-RPT-Panel | |
| license: other | |
| license_name: sec-public-domain | |
| license_link: https://www.sec.gov/privacy#dissemination | |
| language: | |
| - en | |
| task_categories: | |
| - tabular-classification | |
| - text-classification | |
| tags: | |
| - finance | |
| - accounting | |
| - sec-edgar | |
| - related-party-transactions | |
| - fraud-detection | |
| size_categories: | |
| - n<1K | |
| configs: | |
| - config_name: company_universe | |
| data_files: company_universe.csv | |
| - config_name: filing_manifest | |
| data_files: filing_manifest.csv | |
| - config_name: proxy_manifest | |
| data_files: proxy_manifest.csv | |
| - config_name: extraction_manifest | |
| data_files: extraction_manifest.csv | |
| - config_name: nlp_scores | |
| data_files: nlp_scores.csv | |
| - config_name: xbrl_financials | |
| data_files: xbrl_financials.csv | |
| - config_name: aaer_manifest | |
| data_files: aaer_manifest.csv | |
| - config_name: aaer_company_matches | |
| data_files: aaer_company_matches.csv | |
| - config_name: fraud_labels | |
| data_files: fraud_labels.csv | |
| - config_name: master_panel | |
| data_files: master_panel.csv | |
| # SEC-RPT-Panel v2.0.0 | |
| A firm-year research panel for studying related-party-transaction (RPT) fraud | |
| risk, built only from official SEC sources: EDGAR 10-K filings, DEF 14A proxy | |
| statements, XBRL company facts and Accounting and Auditing Enforcement Releases | |
| (AAERs). Published as `codewithdark/SEC-RPT-Panel`. | |
| Built with `sec_rpt_dataset` v2.0.0 (git `bdc3712`) on | |
| 2026-10-07. | |
| ## Tables | |
| | File | Content | | |
| |---|---| | |
| | `company_universe.csv` | One row per company (CIK): SEC metadata, SIC, case role. | | |
| | `filing_manifest.csv` | One row per annual report (10-K family) with fiscal year and `is_primary_filing`. | | |
| | `proxy_manifest.csv` | DEF 14A proxy statements used for related-party text when Item 13 is incorporated by reference. | | |
| | `extraction_manifest.csv` | Per-filing extraction status, word counts, `rpt_text_source`, Item 9A internal-control flags. | | |
| | `nlp_scores.csv` | Readability and dictionary scores for Item 1, Item 13, the related-party disclosure and the RP note. | | |
| | `xbrl_financials.csv` | Annual XBRL values as first reported (FY2009+). | | |
| | `aaer_manifest.csv` | SEC Accounting and Auditing Enforcement Releases crawled from the official listing. | | |
| | `aaer_company_matches.csv` | Automatic AAER-to-company name matches: candidates for manual review, not labels. | | |
| | `fraud_labels.csv` | Company x fiscal-year labels (`fraud_aaer_label`, `event_time`, `misconduct_period`). | | |
| | `master_panel.csv` | Everything joined: one row per annual report. | | |
| All tables are keyed on the 10-digit `cik`. Firm-year tables use `fiscal_year` | |
| (Compustat convention: fiscal years ending January-May belong to the previous | |
| calendar year). `master_panel.csv` has one row per annual report; use | |
| `is_primary_filing == 1` for one row per company-year (first original 10-K, | |
| as-first-reported). | |
| ## Labels (`fraud_labels.csv`) | |
| - `fraud_aaer_label`: 1 for a **case** firm's fiscal years inside the | |
| assessment window (the five fiscal years before the first public revelation | |
| of the misconduct), 0 for matched peers and for years outside the window. | |
| Case firms, misconduct periods and revelation dates come from a hand-verified | |
| cases file, not from automatic matching. | |
| - `event_time`: fiscal year minus revelation year (peers inherit their matched | |
| case's revelation year). Negative values are pre-revelation. | |
| - `misconduct_period`: 1 inside the misconduct period named in the SEC order. | |
| - `case_role`: `case` or `peer`; `case_id` / `matched_case_id` link them. | |
| - `aaer_release_in_year`, `aaer_numbers`: **unverified** automatic name | |
| matches of AAERs *released* in that calendar year. These are an | |
| enforcement-date flag, not a misconduct label; review | |
| `aaer_company_matches.csv` before using them. | |
| Enforcement data capture detected and pursued misconduct only. For most | |
| cases the window overlaps the misconduct period, so signals are | |
| pre-*detection*, not pre-*misconduct*. | |
| ## Related-party text (`rpt_text_source`) | |
| | value | meaning | | |
| |---|---| | |
| | `10k_item13` | Item 13 body of the 10-K was substantive | | |
| | `def14a` | Item 13 was incorporated by reference; the related-party section of the matching proxy statement was used | | |
| | `none` | no related-party text of at least the minimum length was found | | |
| Texts shorter than the minimum word count are treated as missing: their NLP | |
| scores are blank and `*_text_available` is 0. | |
| ## Raw files | |
| ```text | |
| raw/filings/<CIK>/<FY>/<ACCESSION>/{filing,item1,item9a,item13,rp_note,rpt_disclosure}.txt | |
| raw/proxies/<CIK>/<ACCESSION>/{proxy,proxy_rpt}.txt | |
| raw/xbrl/CIK<CIK>.json | |
| raw/aaer/<YEAR>/<AAER_NO>.{pdf,txt} | |
| ``` | |
| ## Coverage (dataset_qa.json) | |
| | Metric | Value | | |
| |---|---| | |
| | `companies` | 24 | | |
| | `dataset_version` | 2.0.0 | | |
| | `extraction_errors` | 0 | | |
| | `filings` | 384 | | |
| | `fiscal_years` | 2004: 13, 2005: 14, 2006: 14, 2007: 14, 2008: 16, 2009: 16, 2010: 16, 2011: 16, 2012: 16, 2013: 16, 2014: 16, 2015: 17, 2016: 18, 2017: 23, 2018: 23, 2019: 23, 2020: 24, 2021: 24, 2022: 24, 2023: 21, 2024: 20 | | |
| | `forms` | 10-K: 384 | | |
| | `fraud_label_positive_rows` | 17 | | |
| | `label_source` | verified_cases_file: 384 | | |
| | `primary_filings` | 384 | | |
| | `rpt_text_available` | 339 | | |
| | `rpt_text_source` | 10k_item13: 32, def14a: 307, none: 45 | | |
| | `share_item13_incorporated_by_reference` | 0.8307 | | |
| | `share_item9a_available` | 0.9505 | | |
| | `share_rp_note_found` | 0.2031 | | |
| | `share_xbrl_total_assets` | 0.7891 | | |
| ## Citation | |
| If you use this dataset, cite the accompanying thesis / working paper and this | |
| repository. SEC filings are public domain; this compilation is released for | |
| research use. | |